Advances in neural networks - ISNN 2005 : Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005 : proceedings

著者

• International Symposium on Neural Networks
• Wang, Jun
• Liao, Xiaofeng
• Yi, Zhang

書誌事項

Advances in neural networks - ISNN 2005 : Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005 : proceedings

Jun Wang, Xiaofeng Liao, Zhang Yi (eds.)

（Lecture notes in computer science, 3496-3498）

Springer, c2005

• pt. 1
• pt. 2
• pt. 3

注記

Includes bibliographical references and index

内容説明・目次

巻冊次

pt. 1 ISBN 9783540259121

内容説明

The three volume set LNCS 3496/3497/3498 constitutes the refereed proceedings of the Second International Symposium on Neural Networks, ISNN 2005, held in Chongqing, China in May/June 2005. The 483 revised papers presented were carefully reviewed and selected from 1.425 submissions. The papers are organized in topical sections on theoretical analysis, model design, learning methods, optimization methods, kernel methods, component analysis, pattern analysis, systems modeling, signal processing, image processing, financial analysis, control systems, robotic systems, telecommunication networks, incidence detection, fault diagnosis, power systems, biomedical applications, industrial applications, and other applications.

目次

Theoretical Analysis.- Population Coding, Bayesian Inference and Information Geometry.- One-Bit-Matching ICA Theorem, Convex-Concave Programming, and Combinatorial Optimization.- Dynamic Models for Intention (Goal-Directedness) Are Required by Truly Intelligent Robots.- Differences and Commonalities Between Connectionism and Symbolicism.- Pointwise Approximation for Neural Networks.- On the Universal Approximation Theorem of Fuzzy Neural Networks with Random Membership Function Parameters.- A Review: Relationship Between Response Properties of Visual Neurons and Advances in Nonlinear Approximation Theory.- Image Representation in Visual Cortex and High Nonlinear Approximation.- Generalization and Property Analysis of GENET.- On Stochastic Neutral Neural Networks.- Eigenanalysis of CMAC Neural Network.- A New Definition of Sensitivity for RBFNN and Its Applications to Feature Reduction.- Complexity of Error Hypersurfaces in Multilayer Perceptrons with General Multi-input and Multi-output Architecture.- Nonlinear Dynamical Analysis on Coupled Modified Fitzhugh-Nagumo Neuron Model.- Stability of Nonautonomous Recurrent Neural Networks with Time-Varying Delays.- Global Exponential Stability of Non-autonomous Neural Networks with Variable Delay.- A Generalized LMI-Based Approach to the Global Exponential Stability of Recurrent Neural Networks with Delay.- A Further Result for Exponential Stability of Neural Networks with Time-Varying Delays.- Improved Results for Exponential Stability of Neural Networks with Time-Varying Delays.- Global Exponential Stability of Recurrent Neural Networks with Infinite Time-Varying Delays and Reaction-Diffusion Terms.- Exponential Stability Analysis of Neural Networks with Multiple Time Delays.- Exponential Stability of Cohen-Grossberg Neural Networks with Delays.- Global Exponential Stability of Cohen-Grossberg Neural Networks with Time-Varying Delays and Continuously Distributed Delays.- Exponential Stability of Stochastic Cohen-Grossberg Neural Networks with Time-Varying Delays.- Exponential Stability of Fuzzy Cellular Neural Networks with Unbounded Delay.- Global Exponential Stability of Reaction-Diffusion Hopfield Neural Networks with Distributed Delays.- Global Exponential Stability of Delayed Impulsive Hopfield Type Neural Networks.- Global Exponential Stability of Hopfield Neural Networks with Impulsive Effects.- Global Exponential Stability of Discrete Time Hopfield Neural Networks with Delays.- Stability Analysis of Uncertain Neural Networks with Linear and Nonlinear Time Delays.- Robust Stability for Delayed Neural Networks with Nonlinear Perturbation.- Robust Stability Analysis of a Class of Hopfield Neural Networks with Multiple Delays.- Robust Stability of Interval Delayed Neural Networks.- Impulsive Robust Control of Interval Hopfield Neural Networks.- Global Attractivity of Cohen-Grossberg Model with Delays.- High-Order Hopfield Neural Networks.- Stability Analysis of Second Order Hopfield Neural Networks with Time Delays.- Convergence Analysis of Genetic Regulatory Networks Based on Nonlinear Measures.- Stability Conditions for Discrete Neural Networks in Partial Simultaneous Updating Mode.- Dynamic Behavior Analysis of Discrete Neural Networks with Delay.- Existence and Stability of Periodic Solution in a Class of Impulsive Neural Networks.- Globally Attractive Periodic Solutions of Continuous-Time Neural Networks and Their Discrete-Time Counterparts.- Globally Stable Periodic State of Delayed Cohen-Grossberg Neural Networks.- Globally Attractive Periodic State of Discrete-Time Cellular Neural Networks with Time-Varying Delays.- An Analysis for Periodic Solutions of High-Order BAM Neural Networks with Delays.- Periodic Oscillation and Exponential Stability of a Class of Competitive Neural Networks.- Synchronous Behaviors of Two Coupled Neurons.- Adaptive Synchronization of Delayed Neural Networks Based on Parameters Identification.- Strength and Direction of Phase Synchronization of Neural Networks.- Hopf Bifurcation in a Single Inertial Neuron Model: A Frequency Domain Approach.- Hopf Bifurcation in a Single Inertial Neuron Model with a Discrete Delay.- Stability and Bifurcation of a Neuron Model with Delay-Dependent Parameters.- Stability and Chaos of a Neural Network with Uncertain Time Delays.- Chaotic Synchronization of Delayed Neural Networks.- Chaos Synchronization for Bi-directional Coupled Two-Neuron Systems with Discrete Delays.- Complex Dynamics in a Simple Hopfield-Type Neural Network.- Adaptive Chaotic Controlling Method of a Chaotic Neural Network Model.- Model Design.- Modeling Cortex Network: A Spatio-temporal Population Approach.- A Special Kind of Neural Networks: Continuous Piecewise Linear Functions.- A Novel Dynamic Structural Neural Network with Neuron-Regeneration and Neuron-Degeneration Mechanisms.- A New Adaptive Ridgelet Neural Network.- Designing Neural Networks Using Hybrid Particle Swarm Optimization.- A New Strategy for Designing Bidirectional Associative Memories.- Genetically Optimized Hybrid Fuzzy Neural Networks Based on TSK Fuzzy Rules and Polynomial Neurons.- Genetically Optimized Self-organizing Fuzzy Polynomial Neural Networks Based on Information Granulation.- Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Optimization and Information Granulation.- Design of Rule-Based Neurofuzzy Networks by Means of Genetic Fuzzy Set-Based Granulation.- Design of Genetic Fuzzy Set-Based Polynomial Neural Networks with the Aid of Information Granulation.- A Novel Self-organizing Neural Fuzzy Network for Automatic Generation of Fuzzy Inference Systems.- Constructive Fuzzy Neural Networks and Its Application.- A Novel CNN Template Design Method Based on GIM.- A Novel Generalized Congruence Neural Networks.- A SOM Based Model Combination Strategy.- Typical Sample Selection and Redundancy Reduction for Min-Max Modular Network with GZC Function.- Parallel Feedforward Process Neural Network with Time-Varying Input and Output Functions.- A Novel Solid Neuron-Network Chip Based on Both Biological and Artificial Neural Network Theories.- Associative Memory Using Nonlinear Line Attractor Network for Multi-valued Pattern Association.- Associative Chaotic Neural Network via Exponential Decay Spatio-temporal Effect.- On a Chaotic Neural Network with Decaying Chaotic Noise.- Extension Neural Network-Type 3.- Pulsed Para-neural Networks (PPNN) Based on MEXORs and Counters.- Using Ensemble Information in Swarming Artificial Neural Networks.- Negatively Correlated Neural Network Ensemble with Multi-population Particle Swarm Optimization.- Wrapper Approach for Learning Neural Network Ensemble by Feature Selection.- Constructive Ensemble of RBF Neural Networks and Its Application to Earthquake Prediction.- Learning Methods.- The Bounds on the Rate of Uniform Convergence for Learning Machine.- Supervised Learning on Local Tangent Space.- Study Markov Neural Network by Stochastic Graph.- An Efficient Recursive Total Least Squares Algorithm for Training Multilayer Feedforward Neural Networks.- A Robust Learning Algorithm for Feedforward Neural Networks with Adaptive Spline Activation Function.- A New Modified Hybrid Learning Algorithm for Feedforward Neural Networks.- Robust Recursive TLS (Total Least Square) Method Using Regularized UDU Decomposed for FNN (Feedforward Neural Network) Training.- An Improved Backpropagation Algorithm Using Absolute Error Function.- An Improved Relative Criterion Using BP Algorithm.- Solving Hard Local Minima Problems Using Basin Cells for Multilayer Perceptron Training.- Enhanced Fuzzy Single Layer Perceptron.- A New Training Algorithm for a Fuzzy Perceptron and Its Convergence.- Stochastic Fuzzy Neural Network and Its Robust Parameter Learning Algorithm.- Applying Neural Network to Reinforcement Learning in Continuous Spaces.- Multiagent Reinforcement Learning Algorithm Using Temporal Difference Error.- A Foremost-Policy Reinforcement Learning Based ART2 Neural Network and Its Learning Algorithm.- A Reinforcement Learning Based Radial-Bassis Function Network Control System.- Structure Pruning Strategies for Min-Max Modular Network.- Sequential Bayesian Learning for Modular Neural Networks.- A Modified Genetic Algorithm for Fast Training Neural Networks.- Immunity Clonal Synergetic Learning of Unbalanced Attention Parameters in Synergetic Network.- Optimizing Weights of Neural Network Using an Adaptive Tabu Search Approach.- Semi-supervised Learning for Image Retrieval Using Support Vector Machines.- A Simple Rule Extraction Method Using a Compact RBF Neural Network.- Automatic Fuzzy Rule Extraction Based on Fuzzy Neural Network.- Optimization Methods.- Neural Networks for Nonconvex Nonlinear Programming Problems: A Switching Control Approach.- Deterministic Global Optimization with a Neighbourhood Determination Algorithm Based on Neural Networks.- A Neural Network Methodology of Quadratic Optimization with Quadratic Equality Constraints.- A Hopfiled Neural Network for Nonlinear Constrained Optimization Problems Based on Penalty Function.- A Neural Network Algorithm for Second-Order Conic Programming.- Application of Neural Network to Interactive Physical Programming.- Application of the "Winner Takes All" Principle in Wang's Recurrent Neural Network for the Assignment Problem.- Theoretical Analysis and Parameter Setting of Hopfield Neural Networks.- Solving Optimization Problems Based on Chaotic Neural Network with Hysteretic Activation Function.- An Improved Transiently Chaotic Neural Network for Solving the K-Coloring Problem.- A Sweep-Based TCNN Algorithm for Capacity Vehicle Routing Problem.- Transient Chaotic Discrete Neural Network for Flexible Job-Shop Scheduling.- Integration of Artificial Neural Networks and Genetic Algorithm for Job-Shop Scheduling Problem.- An Effective Algorithm Based on GENET Neural Network Model for Job Shop Scheduling with Release Dates and Due Dates.- Fuzzy Due Dates Job Shop Scheduling Problem Based on Neural Network.- Heuristic Combined Artificial Neural Networks to Schedule Hybrid Flow Shop with Sequence Dependent Setup Times.- A Neural Network Based Heuristic for Resource-Constrained Project Scheduling.- Functional-Link Net Based Multiobjective Fuzzy Optimization.- Optimizing the Distributed Network Monitoring Model with Bounded Bandwidth and Delay Constraints by Neural Networks.- Stochastic Nash Equilibrium with a Numerical Solution Method.- Kernel Methods.- Generalized Foley-Sammon Transform with Kernels.- Sparse Kernel Fisher Discriminant Analysis.- Scaling the Kernel Function to Improve Performance of the Support Vector Machine.- Online Support Vector Machines with Vectors Sieving Method.- Least Squares Support Vector Machine Based on Continuous Wavelet Kernel.- Multiple Parameter Selection for LS-SVM Using Smooth Leave-One-Out Error.- Trajectory-Based Support Vector Multicategory Classifier.- Multi-category Classification by Least Squares Support Vector Regression.- Twi-Map Support Vector Machine for Multi-classification Problems.- Fuzzy Multi-class SVM Classifier Based on Optimal Directed Acyclic Graph Using in Similar Handwritten Chinese Characters Recognition.- A Hierarchical and Parallel Method for Training Support Vector Machines.- Task Decomposition Using Geometric Relation for Min-Max Modular SVMs.- A Novel Ridgelet Kernel Regression Method.- Designing Nonlinear Classifiers Through Minimizing VC Dimension Bound.- A Cascaded Mixture SVM Classifier for Object Detection.- Radar High Range Resolution Profiles Feature Extraction Based on Kernel PCA and Kernel ICA.- Controlling Chaotic Systems via Support Vector Machines Without Analytical Model.- Support Vector Regression for Software Reliability Growth Modeling and Prediction.- SVM-Based Semantic Text Categorization for Large Scale Web Information Organization.- Fuzzy Support Vector Machine and Its Application to Mechanical Condition Monitoring.- Component Analysis.- Guided GA-ICA Algorithms.- A Cascaded Ensemble Learning for Independent Component Analysis.- A Step by Step Optimization Approach to Independent Component Analysis.- Self-adaptive FastICA Based on Generalized Gaussian Model.- An Efficient Independent Component Analysis Algorithm for Sub-Gaussian Sources.- ICA and Committee Machine-Based Algorithm for Cursor Control in a BCI System.- Fast Independent Component Analysis for Face Feature Extraction.- Affine Invariant Descriptors for Color Images Based on Independent Component Analysis.- A New Image Protection and Authentication Technique Based on ICA.- Locally Spatiotemporal Saliency Representation: The Role of Independent Component Analysis.- A Multistage Decomposition Approach for Adaptive Principal Component Analysis.- A New Kalman Filtering Algorithm for Nonlinear Principal Component Analysis.- An Improvement on PCA Algorithm for Face Recognition.- A Modified PCA Neural Network to Blind Estimation of the PN Sequence in Lower SNR DS-SS Signals.- A Modified MCA EXIN Algorithm and Its Convergence Analysis.- Robust Beamforming by a Globally Convergent MCA Neural Network.

巻冊次

pt. 2 ISBN 9783540259138

内容説明

This book and its sister volumes constitute the proceedings of the 2nd International Symposium on Neural Networks (ISNN 2005). ISNN 2005 was held in the beautiful mountain city Chongqing by the upper Yangtze River in southwestern China during May 30-June 1, 2005, as a sequel of ISNN 2004 successfully held in Dalian, China. ISNN emerged as a leading conference on neural computation in the region with - creasing global recognition and impact. ISNN 2005 received 1425 submissions from authors on ?ve continents (Asia, Europe, North America, South America, and Oc- nia), 33 countries and regions (Mainland China, Hong Kong, Macao, Taiwan, South Korea, Japan, Singapore, Thailand, India, Nepal, Iran, Qatar, United Arab Emirates, Turkey, Lithuania, Hungary, Poland, Austria, Switzerland, Germany, France, Sweden, Norway, Spain, Portugal, UK, USA, Canada, Venezuela, Brazil, Chile, Australia, and New Zealand). Based on rigorous reviews, 483 high-quality papers were selected by the Program Committee for presentation at ISNN 2005 and publication in the proce- ings, with an acceptance rate of less than 34%. In addition to the numerous contributed papers, 10 distinguished scholars were invited to give plenary speeches and tutorials at ISNN 2005.

目次

Pattern Analysis.- A New Approach for Classification: Visual Simulation Point of View.- A Novel Classifier with the Immune-Training Based Wavelet Neural Network.- Fisher Subspace Tree Classifier Based on Neural Networks.- Classification Algorithms Based on Fisher Discriminant and Perceptron Neural Network.- Robust Classification of Immunity Clonal Synergetic Network Inspired by Fuzzy Integral.- An Improved Optimal Pairwise Coupling Classifier.- Improvement on Response Performance of Min-Max Modular Classifier by Symmetric Module Selection.- Principle for Outputs of Hidden Neurons in CC4 Network.- Chunk Incremental LDA Computing on Data Streams.- A Novel Clustering Method Based on SVM.- Clustering High-Dimensional Data Using Growing SOM.- A Novel Clustering Algorithm Based upon a SOFM Neural Network Family.- Advanced Visualization Techniques for Self-organizing Maps with Graph-Based Methods.- Selection of Optimal Features for Iris Recognition.- Application of Multi-weighted Neuron for Iris Recognition.- Robust Precise Eye Location by Adaboost and SVM Techniques.- Classification-Based Face Detection Using Compound Features.- Face Recognition Using RBF Neural Networks and Wavelet Transform.- Face Recognition Using Fisher Non-negative Matrix Factorization with Sparseness Constraints.- Gabor Features-Based Classification Using SVM for Face Recognition.- An Experimental Evaluation of Linear and Kernel-Based Classifiers for Face Recognition.- A Study on Illumination Invariant Face Recognition Methods Based on Multiple Eigenspaces.- Boosted Independent Features for Face Expression Recognition.- Intelligent Immigration Control System by Using Passport Recognition and Face Verification.- Recognition of Finger Spelling of American Sign Language with Artificial Neural Network Using Position/Orientation Sensors and Data Glove.- Fingerprint Minutia Recognition with Fuzzy Neural Network.- Fingerprint Classification Based on Curvature Sampling and RBF Neural Networks.- Palmprint Recognition Based on Translation Invariant Zernike Moments and Modular Neural Network.- Gait Recognition Using Independent Component Analysis.- Nighttime Pedestrian Detection with a Normal Camera Using SVM Classifier.- Signature Recognition and Verification with Artificial Neural Network Using Moment Invariant Method.- Handwritten Digit Recognition with Kernel-Based LVQ Classifier in Input Space.- Recognition of English Business Cards Using Enhanced Hybrid Network.- A Novel Approach for License Plate Recognition Using Subspace Projection and Probabilistic Neural Network.- Automatic Authentication Technique Based on Supervised ART-2 and Polynomial Spline Pyramid Algorithm.- Neural Network Based Online Feature Selection for Vehicle Tracking.- TextCC: New Feed Forward Neural Network for Classifying Documents Instantly.- A Neural Network Model for Hierarchical Multilingual Text Categorization.- Chinese Syntactic Category Disambiguation Using Support Vector Machines.- A Clustering Algorithm for Chinese Text Based on SOM Neural Network and Density.- Automatic Caption Detection in Video Frames Based on Support Vector Machine.- Selection of ICA Features for Texture Classification.- Feature Selection and Fusion for Texture Classification.- Scene Classification Using Adaptive Processing of Tree Representation of Rectangular-Shape Partition of Images.- Shape Recognition Based on Radial Basis Probabilistic Neural Network and Application to Plant Species Identification.- Image Recognition Using Synergetic Neural Network.- Content Based Retrieval and Classification of Cultural Relic Images.- Obscene Image Recognition Based on Model Matching and BWFNN.- Classification of SAR Imagery Using Multiscale Self-organizing Network.- Mixture of Experts for Stellar Data Classification.- A Neural Network Model for Extraction of Salient Contours.- A Mechanism for Extracting Optical Virtual Contours of Discrete Dot Stimuli.- Using Self-organizing Map for Mental Tasks Classification in Brain-Computer Interface.- Speech Recognition Using Stereo Vision Neural Networks with Competition and Cooperation.- Speech Recognition of Finite Words Based on Multi-weight Neural Network.- Continuous Speech Research Based on Two-Weight Neural Network.- Two-Domain Feature Compensation for Robust Speech Recognition.- On Kernel Discriminant Analyses Applied to Phoneme Classification.- Automatic News Audio Classification Based on Selective Ensemble SVMs.- A Compound Statistical Model Based Radar HRRP Target Recognition.- A Radar Target Multi-feature Fusion Classifier Based on Rough Neural Network.- Automatic Digital Modulation Recognition Based on ART2A-DWNN.- Recognition of Radiated Noises of Ships Using Auditory Features and Support Vector Machines.- Feature Selection and Identification of Underground Nuclear Explosion and Natural Earthquake Based on Gamma Test and BP Neural Network.- An Adaptive Neural Network Classifier for Tropical Cyclone Prediction Using a Two-Layer Feature Selector.- Feature Point Matching of Affine Model Images Using Hopfield Network.- System Modeling.- Nonlinear System Modeling Using Wavelet Networks.- Robust Modeling for Nonlinear Dynamic Systems Using a Neurofuzzy Approach with Iterative Optimization.- Modelling of Chaotic Systems with Recurrent Least Squares Support Vector Machines Combined with Stationary Wavelet Transform.- Adding Value to System Dynamics Modeling by Using Artificial Neural Network.- Least Squares Wavelet Support Vector Machines for Nonlinear System Identification.- Wavelet Support Vector Machines and Its Application for Nonlinear System Identification.- Comparative Assessment of Interval and Affine Arithmetic in Neural Network State Prediction.- Identification of Duffing's Equation with Dynamic Recurrent Neural Network.- An Intelligent System for Dynamic System State Forecasting.- Signal Processing.- Sequential Extraction Algorithm for BSS Without Error Accumulation.- A Learning Framework for Blind Source Separation Using Generalized Eigenvalues.- Post-nonlinear Blind Source Separation Using Neural Networks with Sandwiched Structure.- A Novel Approach for Underdetermined Blind Sources Separation in Frequency Domain.- A Neural Network Blind Separation Method Based on Special Frequency Bins.- Application of Blind Source Separation to Time Delay Estimation in Interference Environments.- Blind Identification and Deconvolution for Noisy Two-Input Two-Output Channels.- A Novel Blind Deconvolution Method for Single-Output Chaotic Convolution Mixed Signal.- Stability Analysis of Multichannel Blind Deconvolution.- Joint Diagonalization of Power Spectral Density Matrices for Blind Source Separation of Convolutive Mixtures.- A Block-Adaptive Subspace Method Using Oblique Projections for Blind Separation of Convolutive Mixtures.- FIR Convolutive BSS Based on Sparse Representation.- Blind Separation Combined Frequency Invariant Beamforming and ICA for Far-field Broadband Acoustic Signals.- Blind Source Separation-Based Encryption of Images and Speeches.- A Digital Audio Watermarking Scheme Based on Blind Source Separation.- Lidar Signal Processing for Under-Water Object Detection.- Ultra-wideband Nearfield Adaptive Beamforming Based on a RBF Neural Network.- Automatic Digital Modulation Recognition Using Support Vector Machines and Genetic Algorithm.- A Unified Framework for Synthesis of Cosine-Modulated Filter Banks and Corresponding Wavelets.- A Systematic Chaotic Noise Reduction Method Combining with Neural Network.- A New Speech Enhancement Method for Adverse Noise Environment.- A Subband Adaptive Learning Algorithm for Microphone Array Based Speech Enhancement.- A Spiking Neuron Model of Auditory Neural Coding.- Blind Feature Extraction for Time-Series Classification Using Haar Wavelet Transform.- Prediction of Time Sequence Using Recurrent Compensatory Neuro-fuzzy Systems.- Study of Nonlinear Multivariate Time Series Prediction Based on Neural Networks.- Improving Ability of Passive Attacks of Chaotic Encryption by Using Neural Network.- Chosen-Plaintext Cryptanalysis of a Clipped-Neural-Network-Based Chaotic Cipher.- A Novel Identity-Based Key Issuing Scheme Based on Interacting Neural Network.- The Projection Pursuit Learning Network for Nonlinear Time Series Modeling and Forecasting.- Image Processing.- A New Scheme for Blind Decomposition of Mixed Pixels Based on Non-negative Matrix Factorization.- Representing Image Matrices: Eigenimages Versus Eigenvectors.- A SIMD Neural Network Processor for Image Processing.- MRF-MBNN: A Novel Neural Network Architecture for Image Processing.- Using LM Artificial Neural Networks and ?-Closest-Pixels for Impulsive Noise Suppression from Highly Corrupted Images.- Two Novel Image Filters Based on Canonical Piecewise Linear Networks.- A New Effective and Powerful Image Segmentation Method.- A Novel Image Interpolator Based on Probabilistic Neural Network with Shapeness/Smoothness Adaptation.- Contrast Enhancement for Image with Simulated Annealing Algorithm and Wavelet Neural Network.- Adaptive Constructive Neural Networks Using Hermite Polynomials for Image Compression.- Compression of Remote Sensing Images Based on Ridgelet and Neural Network.- The SAR Image Compression with Projection Pursuit Neural Networks.- Image Restoration Using Hopfield Neural Network Based on Total Variational Model.- Pulse Coupled Neural Network Based Image Fusion.- A Novel Image Fusion Method Based on SGNN.- Multifocus Image Fusion Using Spatial Features and Support Vector Machine.- A New Scheme for Fusion of Multispectral and Panchromatic Images Based on Residual Error.- Binocular 3D Reconstruction Based on Neural Network.- A Neural Network Based Lossless Digital Image Watermarking in the Spatial Domain.- A Copy Attack Resilient Blind Watermarking Algorithm Based on Independent Feature Components.- Watermarking Capacity Analysis Based on Neural Network.- SVR-Based Oblivious Watermarking Scheme.- An Audio Watermarking Scheme with Neural Network.- Subsampling-Based Robust Watermarking Using Neural Network Detector.- Image Feature Extraction Based on an Extended Non-negative Sparse Coding Neural Network Model.- Evolving Optimal Feature Set by Interactive Reinforcement Learning for Image Retrieval.- Perception-Oriented Prominent Region Detection in Video Sequences Using Fuzzy Inference Neural Network.- The Application of Neural Network and Wavelet in Human Face Illumination Compensation.- Global Icons and Local Icons of Images Based Unit-Linking PCNN and Their Application to Robot Navigation.- A Neural Model for Extracting Occluding Subjective Surfaces.- Hopfield Neural Network Image Matching Based on Hausdorff Distance and Chaos Optimizing.- Neural Network Based Fairing of Digitized Curves and Its Application.- A Digital Image Encryption Scheme Based on the Hybrid of Cellular Neural Network and Logistic Map.- Image Encryption Scheme Based on Chaotic Neural System.- Financial Analysis.- Effectiveness of Different Target Coding Schemes on Networks in Financial Engineering.- Select the Size of Training Set for Financial Forecasting with Neural Networks.- Estimating the Yield Curve Using Calibrated Radial Basis Function Networks.- Fast ICA for Online Cashflow Analysis.- Impacts of Internet Stock News on Stock Markets Based on Neural Networks.- Coherent Risk Measure Using Feedfoward Neural Networks.- Application of Evidence Theory and Neural Network in Warning System of Financial Risk.- Novel Questionnaire-Responded Transaction Approach with SVM for Credit Card Fraud Detection.- Learning of Neural Networks for Fraud Detection Based on a Partial Area Under Curve.- Customer Churning Prediction Using Support Vector Machines in Online Auto Insurance Service.- Erratum.- Image Feature Extraction Based on an Extended Non-negative Sparse Coding Neural Network Model.

巻冊次

pt. 3 ISBN 9783540259145

内容説明

The three volume set LNCS 3496/3497/3498 constitutes the refereed proceedings of the Second International Symposium on Neural Networks, ISNN 2005, held in Chongqing, China in May/June 2005. The 483 revised papers presented were carefully reviewed and selected from 1.425 submissions. The papers are organized in topical sections on theoretical analysis, model design, learning methods, optimization methods, kernel methods, component analysis, pattern analysis, systems modeling, signal processing, image processing, financial analysis, control systems, robotic systems, telecommunication networks, incidence detection, fault diagnosis, power systems, biomedical applications, industrial applications, and other applications.

目次

Control Systems.- NN-Based Iterative Learning Control Under Resource Constraints: A Feedback Scheduling Approach.- Sequential Support Vector Machine Control of Nonlinear Systems by State Feedback.- RBFNN-Based Multiple Steady States Controller for Nonlinear System and Its Application.- Sliding Mode Control for Uncertain Nonlinear Systems Using RBF Neural Networks.- Adaptive Backstepping Neural Network Control for Unknown Nonlinear Time-Delay Systems.- Multiple Models Adaptive Control Based on RBF Neural Network Dynamic Compensation.- Stability Analysis and Performance Evaluation of an Adaptive Neural Controller.- Adaptive Inverse Control System Based on Least Squares Support Vector Machines.- H-Infinity Control for Switched Nonlinear Systems Based on RBF Neural Networks.- Neural Networks Robust Adaptive Control for a Class of MIMO Uncertain Nonlinear Systems.- Adaptive Critic for Controller Malfunction Accommodation.- Output Based Fault Tolerant Control of Nonlinear Systems Using RBF Neural Networks.- Fault Tolerant Control of Nonlinear Processes with Adaptive Diagonal Recurrent Neural Network Model.- Dealing with Fault Dynamics in Nonlinear Systems via Double Neural Network Units.- Neural Adaptive Singularity-Free Control by Backstepping for Uncertain Nonlinear Systems.- Parameter Estimation of Fuzzy Controller Using Genetic Optimization and Neurofuzzy Networks.- A Fuzzy CMAC Controller with Eligibility.- A Novel Intelligent Controller Based on Modulation of Neuroendocrine System.- Batch-to-Batch Optimal Control Based on Support Vector Regression Model.- Nonlinear Predictive Control Based on Wavelet Neural Network Applied to Polypropylene Process.- Neural Network Control of Heat Exchanger Plant.- Remote Controller Design of Networked Control Systems Based on Self-constructing Fuzzy Neural Network.- Sliding Mode Control for Cross Beam Simulation System via Neural Network.- Vibration Suppression of Adaptive Truss Structure Using Fuzzy Neural Network.- Experimental Investigation of Active Vibration Control Using a Filtered-Error Neural Network and Piezoelectric Actuators.- Compensating Modeling and Control for Friction Using RBF Adaptive Neural Networks.- Torque Control of Switched Reluctance Motors Based on Flexible Neural Network.- Position Control for PM Synchronous Motor Using Fuzzy Neural Network.- SVM Based Lateral Control for Autonomous Vehicle.- Control of Reusable Launch Vehicle Using Neuro-adaptive Approach.- Robotic Systems.- A Neural Network Based on Biological Vision Learning and Its Application on Robot.- Discrete-Time Adaptive Controller Design for Robotic Manipulators via Neuro-fuzzy Dynamic Inversion.- General Underactuated Cooperating Manipulators and Their Control by Neural Network.- Intelligent Fuzzy Q-Learning Control of Humanoid Robots.- Performance Analysis of Neural Network-Based Uncalibrated Hand-Eye Coordination.- Formation Control for a Multiple Robotic System Using Adaptive Neural Network.- Tip Tracking of a Flexible-Link Manipulator with Radial Basis Function and Fuzzy System.- Obstacle Avoidance for Kinematically Redundant Manipulators Using the Deterministic Annealing Neural Network.- BP Networks Based Trajectory Planning and Inverse Kinematics of a Reconfigurable Mars Rover.- A Novel Path Planning Approach Based on AppART and Particle Swarm Optimization.- A Neuro-fuzzy Controller for Reactive Navigation of a Behaviour-Based Mobile Robot.- Research on the Calibration Method for the Heading Errors of Mobile Robot Based on Evolutionary Neural Network Prediction.- Adaptive Neural-Network Control for Redundant Nonholonomic Mobile Modular Manipulators.- A Neural Network-Based Camera Calibration Method for Mobile Robot Localization Problems.- Abnormal Movement State Detection and Identification for Mobile Robots Based on Neural Networks.- A Neural Network Based Method for Shape Measurement in Steel Plate Forming Robot.- Recurrent Networks for Integrated Navigation.- Telecommunication Networks.- Application of Different Basis and Neural Network Turbo Decoding Algorithm in Multicarrier Modulation System over Time-Variant Channels.- Blind Detection of Orthogonal Space-Time Block Coding Based on ICA Schemes.- Improvement of Borrowing Channel Assignment by Using Cellular Probabilistic Self-organizing Map.- FPGA Realization of a Radial Basis Function Based Nonlinear Channel Equalizer.- Varying Scales Wavelet Neural Network Based on Entropy Function and Its Application in Channel Equalization.- Robust Direction of Arrival (DOA) Estimation Using RBF Neural Network in Impulsive Noise Environment.- Quantum Neural Network for CDMA Multi-user Detection.- A New QoS Routing Optimal Algorithm in Mobile Ad Hoc Networks Based on Hopfield Neural Network.- Content Filtering of Decentralized P2P Search System Based on Heterogeneous Neural Networks Ensemble.- Collaborative Filtering Based on Neural Networks Using Similarity.- Using Double-Layer One-Class Classification for Anti-jamming Information Filtering.- Remote OS Fingerprinting Using BP Neural Network.- Emotional Learning Based Intelligent Traffic Control of ATM Networks.- Multi-agent Congestion Control for High-Speed Networks Using Reinforcement Co-learning.- Multi-scale Combination Prediction Model with Least Square Support Vector Machine for Network Traffic.- Clustering Algorithm Based on Wavelet Neural Network Mobility Prediction in Mobile Ad Hoc Network.- Internet Traffic Prediction by W-Boost: Classification and Regression.- Fuzzy Neural Network for VBR MPEG Video Traffic Prediction.- Incidence Detection.- Building an Intrusion Detection System Based on Support Vector Machine and Genetic Algorithm.- Fusions of GA and SVM for Anomaly Detection in Intrusion Detection System.- A Genetic SOM Clustering Algorithm for Intrusion Detection.- Intrusion Detection Based on Dynamic Self-organizing Map Neural Network Clustering.- Intrusion Detection Based on MLP Neural Networks and K-Means Algorithm.- Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree.- Detection of Epileptic Spikes with Empirical Mode Decomposition and Nonlinear Energy Operator.- Neural Networks for Solving On-Line Outlier Detection Problems.- Pedestrian Detection by Multiple Decision-Based Neural Networks.- A Visual Automatic Incident Detection Method on Freeway Based on RBF and SOFM Neural Networks.- A Self-organizing Map Method for Optical Fiber Fault Detection and Location.- Anomaly Internet Network Traffic Detection by Kernel Principle Component Classifier.- Intelligent Hierarchical Intrusion Detection System for Secure Wireless Ad Hoc Network.- A New Approach of Network Intrusion Detection Using HVDM-Based SOM.- A Novel Approach to Corona Monitoring.- Fault Diagnosis.- Multi-class Probability SVM Fusion Using Fuzzy Integral for Fault Diagnosis.- A Rapid Response Intelligent Diagnosis Network Using Radial Basis Function Network.- An Integrated Approach to Fault Diagnosis Based on Variable Precision Rough Set and Neural Networks.- Hybrid PSO Based Wavelet Neural Networks for Intelligent Fault Diagnosis.- Global-Based Structure Damage Detection Using LVQ Neural Network and Bispectrum Analysis.- Fault Detection for Plasma Etching Processes Using RBF Neural Networks.- Detecting Sensor Faults for a Chemical Reactor Rig via Adaptive Neural Network Model.- Optimal Actuator Fault Detection via MLP Neural Network for PDFs.- Feature Selection and Classification of Gear Faults Using SOM.- Application of Fuzzy SOFM Neural Network and Rough Set Theory on Fault Diagnosis for Rotating Machinery.- Identification of the Acoustic Fault Sources of Underwater Vehicles Based on Modular Structure Variable RBF Network.- A Dynamic Recurrent Neural Network Fault Diagnosis and Isolation Architecture for Satellite's Actuator/Thruster Failures.- Fault Detection in Reaction Wheel of a Satellite Using Observer-Based Dynamic Neural Networks.- Adaptive Wavelet Packet Neural Network Based Fault Diagnosis for Missile's Amplifier.- Crack Detection in Supported Beams Based on Neural Network and Support Vector Machine.- Early Loosening Fault Diagnosis of Clamping Support Based on Information Fusion.- Insulating Fault Diagnosis of XLPE Power Cables Using Multi-parameter Based on Artificial Neural Networks.- Power Systems.- A Hybrid Method and Its Application for Power System.- Fuzzy Neural Very-Short-Term Load Forecasting Based on Chaotic Dynamics Reconstruction.- Application of Neural Networks for Very Short-Term Load Forecasting in Power Systems.- Next Day Load Forecasting Using SVM.- Peak Load Forecasting Using the Self-organizing Map.- Ship Power Load Prediction Based on RST and RBF Neural Networks.- Contingency Screening of Power System Based on Rough Sets and Fuzzy ARTMAP.- Intelligent Neuro-fuzzy Based Predictive Control of a Continuous Stirred Tank Reactor.- Adaptive Neuro-fuzzy SVC for Multimachine Hybrid Power System Stability Improvement with a Long of Double Circuit Transmission Lines.- Application of BP Network-Based Multi-sensor Fusion Techniques in Measurement of the Unburned Carbon in Fly Ash.- Biomedical Applications.- Classification of Nuclear Receptor Subfamilies with RBF Kernel in Support Vector Machine.- Prediction of Contact Maps in Proteins Based on Recurrent Neural Network with Bias Units.- A SVR-Based Multiple Modeling Algorithm for Antibiotic Fermentation Process Using FCM.- Non-parametric Statistical Tests for Informative Gene Selection.- An Information Criterion for Informative Gene Selection.- OPTOC-Based Clustering Analysis of Gene Expression Profiles in Spectral Space.- Model the Relationship Between Gene Expression and TFBSs Using a Simplified Neural Network with Bayesian Variable Selection.- Synchrony of Basic Neuronal Network Based on Event Related EEG.- Non-negative Matrix Factorizations Based Spontaneous Electroencephalographic Signals Classification Using Back Propagation Feedback Neural Networks.- Neural Networks Preprocessing Based Adaptive Latency Change Estimation of Evoked Potentials.- Blind Estimation of Evoked Potentials Based on Fractional Lower Order Statistics.- Wavelet Denoise on MRS Data Based on ICA and PCA.- Hard Margin SVM for Biomedical Image Segmentation.- Multisensors Information Fusion with Neural Networks for Noninvasive Blood Glucose Detection.- Disease Diagnosis Using Query-Based Neural Networks.- Study of BP Neural Network and Its Application in Lung Cancer Intelligent Diagnosis.- New Methodology of Computer Aided Diagnostic System on Breast Cancer.- Spiculated Lesion Detection in Digital Mammogram Based on Artificial Neural Network Ensemble.- Classification of Psychiatric Disorders Using Artificial Neural Network.- Multilevel Neural Network to Diagnosis Procedure of Traditional Chinese Medicine.- Industrial Applications.- An Automated Blowing Control System Using the Hybrid Concept of Case Based Reasoning and Neural Networks in Steel Industry.- Neural Networks Based Multiplex Forecasting System of the End-Point of Copper Blow Period.- Modeling and Prediction of Electric Arc Furnace Based on Neural Network and Chaos Theory.- Modeling and Prediction of Violent Abnormal Vibration of Large Rolling Mills Based on Chaos and Wavelet Neural Networks.- Neural Grey Box Model for Power Estimation in Semiautogenous Mill.- Neural Network Based On-Line Shrinking Horizon Re-optimization of Fed-Batch Processes.- Chip Speed Prediction Model for Optimization of Semiconductor Manufacturing Process Using Neural Networks and Statistical Methods.- Using ANNs to Model Hot Extrusion Manufacturing Process.- Application Research of Support Vector Machines in Condition Trend Prediction of Mechanical Equipment.- Comparative Study on Engine Torque Modelling Using Different Neural Networks.- A Hybrid Intelligent Soft-Sensor Model for Dynamic Particle Size Estimation in Grinding Circuits.- Application of Artificial Neural Networks in Abrasive Waterjet Cutting Process.- Intelligent Tool Condition Monitoring System for Turning Operations.- A Recurrent Neural Network Modeling for Automotive Magnetorheological Fluid Shock Absorber.- Geometrical Error Compensation of Gantry Stage Using Neural Networks.- Neural Particle Swarm Optimization for Casing Damage Prediction.- A Novel Chamber Scheduling Method in Etching Tools Using Adaptive Neural Networks.- CFNN Without Normalization-Based Acetone Product Quality Prediction.- Combining Classifiers in Software Quality Prediction: A Neural Network Approach.- Neural-Network-Driven Fuzzy Reasoning for Product Development Processes.- The Integration of the Neural Network and Computational Fluid Dynamics for the Heatsink Design.- The Modeling and Application of Cost Predication Based on Neural Network.- Combining SOM and Fuzzy Rule Base for Sale Forecasting in Printed Circuit Board Industry.- Other Applications.- Improving Accuracy of Perceptron Predictor Through Correlating Data Values in SMT Processors.- A Genetic-Algorithm-Based Neural Network Approach for Short-Term Traffic Flow Forecasting.- Self-organizing Map Analysis Consistent with Neuroimaging for Chinese Noun, Verb and Class-Ambiguous Word.- Self-organizing Map Analysis of Conceptual and Semantic Relations for Noun.- Artificial Neural Network for Prediction of Rockburst in Deep-Buried Long Tunnel.- Implementation of Brillouin-Active Fiber Based Neural Network in Smart Structures.- Inelastic Simulation of Insect Cuticle Using Artificial Neural Network.- Applying Neural Networks and Geographical Information Systems to Airport Noise Evaluation.- An Artificial Neural Network Method for Map Correction.- An Effective Two-Stage Neural Network Model and Its Application on Flood Loss Prediction.- An Artificial Neural Network Model for Crop Yield Responding to Soil Parameters.- Research on Reservation Allocation Decision Method Based on Neural Network.- Wastewater BOD Forecasting Model for Optimal Operation Using Robust Time-Delay Neural Network.- A Split-Step PSO Algorithm in Prediction of Water Quality Pollution.- Long-Term Prediction of Discharges in Manwan Reservoir Using Artificial Neural Network Models.- Application of Artificial Neural Networks to Predicate Shale Content.- Optimization of Forecasting Supply Chain Management Sustainable Collaboration Using Hybrid Artificial Neural Network.- Multiple Criteria Inventory Classification Based on Principal Components Analysis and Neural Network.

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詳細情報

• NII書誌ID(NCID): BA72157180
• ISBN:
  • 3540259120
  • 3540259139
  • 3540259147
• LCCN: 2005926239
• 出版国コード: gw
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Berlin
• ページ数/冊数: 3 v.
• 大きさ: 24 cm
• 親書誌ID:
  • BA00009279