Advances in neural networks - ISNN 2006 : Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006 : proceedings

著者

• International Symposium on Neural Networks
• Wang, Jun
• Yi, Zhang
• Zurada, Jacek M.
• Lu, Bao-Liang
• Yin, Hujun

書誌事項

Advances in neural networks - ISNN 2006 : Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006 : proceedings

Jun Wang ...[et al.] (eds.)

（Lecture notes in computer science, 3971-3973）

Springer, c2006

• pt. 1
• pt. 2
• pt. 3

注記

Includes bibliographical references and index

内容説明・目次

巻冊次

pt. 2 ISBN 9783540344377

内容説明

This is Volume II of a three volume set constituting the refereed proceedings of the Third International Symposium on Neural Networks, ISNN 2006. 616 revised papers are organized in topical sections on neurobiological analysis, theoretical analysis, neurodynamic optimization, learning algorithms, model design, kernel methods, data preprocessing, pattern classification, computer vision, image and signal processing, system modeling, robotic systems, transportation systems, communication networks, information security, fault detection, financial analysis, bioinformatics, biomedical and industrial applications, and more.

目次

Pattern Classification.- Design an Effective Pattern Classification Model.- Classifying Unbalanced Pattern Groups by Training Neural Network.- A Modified Constructive Fuzzy Neural Networks for Classification of Large-Scale and Complicated Data.- A Hierarchical FloatBoost and MLP Classifier for Mobile Phone Embedded Eye Location System.- Iris Recognition Using LVQ Neural Network.- Minimax Probability Machine for Iris Recognition.- Detecting Facial Features by Heteroassociative Memory Neural Network Utilizing Facial Statistics.- Recognizing Partially Damaged Facial Images by Subspace Auto-associative Memories.- A Facial Expression Classification Algorithm Based on Principle Component Analysis.- Automatic Facial Expression Recognition.- Facial Expression Recognition Using Active Appearance Model.- Facial Expression Recognition Based on BoostingTree.- KDA Plus KPCA for Face Recognition.- Face Recognition Using a Neural Network Simulating Olfactory Systems.- Face Recognition Using Neural Networks and Pattern Averaging.- Semi-supervised Support Vector Learning for Face Recognition.- Parts-Based Holistic Face Recognition with RBF Neural Networks.- Combining Classifiers for Robust Face Detection.- Face Detection Method Based on Kernel Independent Component Analysis and Boosting Chain Algorithm.- Recognition from a Single Sample per Person with Multiple SOM Fusion.- Investigating LLE Eigenface on Pose and Face Identification.- Multimodal Priority Verification of Face and Speech Using Momentum Back-Propagation Neural Network.- The Clustering Solution of Speech Recognition Models with SOM.- Study on Text-Dependent Speaker Recognition Based on Biomimetic Pattern Recognition.- A New Text-Independent Speaker Identification Using Vector Quantization and Multi-layer Perceptron.- Neural Net Pattern Recognition Equations with Self-organization for Phoneme Recognition.- Music Genre Classification Using a Time-Delay Neural Network.- Audio Signal Classification Using Support Vector Machines.- Gender Classification Based on Boosting Local Binary Pattern.- Multi-view Gender Classification Using Local Binary Patterns and Support Vector Machines.- Gender Recognition Using a Min-Max Modular Support Vector Machine with Equal Clustering.- Palmprint Recognition Using ICA Based on Winner-Take-All Network and Radial Basis Probabilistic Neural Network.- An Implementation of the Korean Sign Language Recognizer Using Neural Network Based on the Post PC.- Gait Recognition Using Wavelet Descriptors and Independent Component Analysis.- Gait Recognition Using Principal Curves and Neural Networks.- An Adjacent Multiple Pedestrians Detection Based on ART2 Neural Network.- Recognition Method of Throwing Force of Athlete Based on Multi-class SVM.- A Constructive Learning Algorithm for Text Categorization.- Short-Text Classification Based on ICA and LSA.- Writer Identification Using Modular MLP Classifier and Genetic Algorithm for Optimal Features Selection.- Self-generation ART Neural Network for Character Recognition.- Handwritten Digit Recognition Using Low Rank Approximation Based Competitive Neural Network.- Multifont Arabic Characters Recognition Using HoughTransform and Neural Networks.- Recognition of English Calling Card by Using Multiresolution Images and Enhanced ART1-Based RBF Neural Networks.- A Method of Chinese Fax Recipient's Name Recognition Based on Hybrid Neural Networks.- Fast Photo Time-Stamp Recognition Based on SGNN.- Hierarchical Classification of Object Images Using Neural Networks.- Structured-Based Neural Network Classification of Images Using Wavelet Coefficients.- Remote Sensing Image Classification Algorithm Based on Hopfield Neural Network.- Tea Classification Based on Artificial Olfaction Using Bionic Olfactory Neural Network.- Distinguishing Onion Leaves from Weed Leaves Based on Segmentation of Color Images and a BP Neural Network.- Bark Classification Based on Textural Features Using Artificial Neural Networks.- Automated Spectral Classification of QSOs and Galaxies by Radial Basis Function Network with Dynamic Decay Adjustment.- Feed-Forward Neural Network Using SARPROP Algorithm and Its Application in Radar Target Recognition.- Computer Vision.- Camera Calibration and 3D Reconstruction Using RBF Network in Stereovision System.- A Versatile Method for Omnidirectional Stereo Camera Calibration Based on BP Algorithm.- Evolutionary Cellular Automata Based Neural Systems for Visual Servoing.- Robust Visual Tracking Via Incremental Maximum Margin Criterion.- An Attention Selection System Based on Neural Network and Its Application in Tracking Objects.- Human Motion Tracking Based on Markov Random Field and Hopfield Neural Network.- Skin-Color Based Human Tracking Using a Probabilistic Noise Model Combined with Neural Network.- Object Detection Via Fusion of Global Classifier and Part-Based Classifier.- A Cartoon Video Detection Method Based on Active Relevance Feedback and SVM.- Morphological Neural Networks of Background Clutter Adaptive Prediction for Detection of Small Targets in Image Data.- Two Important Action Scenes Detection Based on Probability Neural Networks.- Local Independent Factorization of Natural Scenes.- Search Region Prediction for Motion Estimation Based on Neural Network Vector Quantization.- Hierarchical Extraction of Remote Sensing Data Based on Support Vector Machines and Knowledge Processing.- Eyes Location Using a Neural Network.- Image Processing.- Gabor Neural Network for Endoscopic Image Registration.- Isomap and Neural Networks Based Image Registration Scheme.- Unsupervised Image Segmentation Using an Iterative Entropy Regularized Likelihood Learning Algorithm.- An Improvement on Competitive Neural Networks Applied to Image Segmentation.- Image Segmentation by Deterministic Annealing Algorithm with Adaptive Spatial Constraints.- A Multi-scale Scheme for Image Segmentation Using Neuro-fuzzy Classification and Curve Evolution.- A Robust MR Image Segmentation Technique Using Spatial Information and Principle Component Analysis.- Adaptive Segmentation of Color Image for Vision Navigation of Mobile Robots.- Image Filtering Using Support Vector Machine.- The Application of Wavelet Neural Network with Orthonormal Bases in Digital Image Denoising.- A Region-Based Image Enhancement Algorithm with the Grossberg Network.- Contrast Enhancement for Image Based on Wavelet Neural Network and Stationary Wavelet Transform.- Learning Image Distortion Using a GMDH Network.- An Edge Preserving Regularization Model for Image Restoration Based on Hopfield Neural Network.- High-Dimensional Space Geometrical Informatics and Its Applications to Image Restoration.- Improved Variance-Based Fractal Image Compression Using Neural Networks.- Associative Cubes in Unsupervised Learning for Robust Gray-Scale Image Recognition.- A Novel Graph Kernel Based SVM Algorithm for Image Semantic Retrieval.- Content Based Image Retrieval Using a Bootstrapped SOM Network.- Unsupervised Approach for Extracting the Textural Region of Interest from Real Image.- Image Fakery and Neural Network Based Detection.- Object Detection Using Unit-Linking PCNN Image Icons.- Robust Image Watermarking Using RBF Neural Network.- An Interactive Image Inpainting Method Based on RBF Networks.- No-Reference Perceptual Quality Assessment of JPEG Images Using General Regression Neural Network.- Minimum Description Length Shape Model Based on Elliptic Fourier Descriptors.- Neural Network Based Texture Segmentation Using a Markov Random Field Model.- Texture Segmentation Using SOM and Multi-scale Bayesian Estimation.- Recognition of Concrete Surface Cracks Using the ART1-Based RBF Network.- Signal Processing.- SVM-Enabled Voice Activity Detection.- A Robust VAD Method for Array Signals.- A Flexible Algorithm for Extracting Periodic Signals.- A Neural Network Method for Blind Signature Waveform Estimation of Synchronous CDMA Signals.- A Signal-Dependent Quadratic Time Frequency Distribution for Neural Source Estimation.- Neural Network Channel Estimation Based on Least Mean Error Algorithm in the OFDM Systems.- Higher-Order Feature Extraction of Non-Gaussian Acoustic Signals Using GGM-Based ICA.- Automatic Removal of Artifacts from EEG Data Using ICA and Exponential Analysis.- Identification of Vibrating Noise Signals of Electromotor Using Adaptive Wavelet Neural Network.- Fractional Order Digital Differentiators Design Using Exponential Basis Function Neural Network.- Multivariate Chaotic Time Series Prediction Based on Radial Basis Function Neural Network.- Time Series Prediction Using LS-SVM with Particle Swarm Optimization.- A Regularized Minimum Cross-Entropy Algorithm on Mixtures of Experts for Time Series Prediction.- Prediction for Chaotic Time Series Based on Discrete Volterra Neural Networks.- System Modeling.- A New Pre-processing Method for Regression.- A New On-Line Modeling Approach to Nonlinear Dynamic Systems.- Online Modeling of Nonlinear Systems Using Improved Adaptive Kernel Methods.- A Novel Multiple Neural Networks Modeling Method Based on FCM.- Nonlinear System Identification Using Multi-resolution Reproducing Kernel Based Support Vector Regression.- A New Recurrent Neurofuzzy Network for Identification of Dynamic Systems.- Identification of Dynamic Systems Using Recurrent Fuzzy Wavelet Network.- Simulation Studies of On-Line Identification of Complex Processes with Neural Networks.- Consecutive Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Data Granulation.- Two-Phase Identification of ANFIS-Based Fuzzy Systems with Fuzzy Set by Means of Information Granulation and Genetic Optimization.- A New Modeling Approach of STLF with Integrated Dynamics Mechanism and Based on the Fusion of Dynamic Optimal Neighbor Phase Points and ICNN.- Control Systems.- Adaptive Neural Network Control for Nonlinear Systems Based on Approximation Errors.- Adaptive Neural Network Control for Switched System with Unknown Nonlinear Part by Using Backstepping Approach: SISO Case.- Adaptive Neural Control for a Class of MIMO Non-linear Systems with Guaranteed Transient Performance.- Adaptive Neural Compensation Control for Input-Delay Nonlinear Systems by Passive Approach.- Nonlinear System Adaptive Control by Using Multiple Neural Network Models.- Implementable Adaptive Backstepping Neural Control of Uncertain Strict-Feedback Nonlinear Systems.- A Discrete-Time System Adaptive Control Using Multiple Models and RBF Neural Networks.- Robust Adaptive Neural Network Control for Strict-Feedback Nonlinear Systems Via Small-Gain Approaches.- Neural Network Based Robust Adaptive Control for a Class of Nonlinear Systems.- Robust H??? Control for Delayed Nonlinear Systems Based on Standard Neural Network Models.- SVM Based Nonlinear Self-tuning Control.- SVM Based Internal Model Control for Nonlinear Systems.- Fast Online SVR Algorithm Based Adaptive Internal Model Control.- A VSC Method for MIMO Systems Based on SVM.- Identification and Control of Dynamic Systems Based on Least Squares Wavelet Vector Machines.- A Nonlinear Model Predictive Control Strategy Using Multiple Neural Network Models.- Predictive Control Method of Improved Double-Controller Scheme Based on Neural Networks.- Discrete-Time Sliding-Mode Control Based on Neural Networks.- Statistic Tracking Control: A Multi-objective Optimization Algorithm.- Minimum Entropy Control for Stochastic Systems Based on the Wavelet Neural Networks.- Stochastic Optimal Control of Nonlinear Jump Systems Using Neural Networks.- Performance Estimation of a Neural Network-Based Controller.- Some Key Issues in the Design of Self-Organizing Fuzzy Control Systems.- Nonlinear System Stabilisation by an Evolutionary Neural Network.- Neural Network Control Design for Large-Scale Systems with Higher-Order Interconnections.- Adaptive Pseudo Linear RBF Model for Process Control.- An Improved BP Algorithm Based on Global Revision Factor and Its Application to PID Control.- Neuro-fuzzy Generalized Predictive Control of Boiler Steam Temperature.- Model-Free Control of a Nonlinear ANC System with a SPSA-Based Neural Network Controller.- Robust Control for AC-Excited Hydrogenerator System Using Adaptive Fuzzy-Neural Network.- Adaptive Fuzzy Neural Network Control for Transient Dynamics of Magneto-rheological Suspension with Time-Delay.- Adaptive Fuzzy Basis Function Network Based Fault-Tolerant Stable Control of Multi-machine Power Systems.- Simulation Research on Applying Fault Tolerant Control to Marine Diesel Engine in Abnormal Operation.- Hybrid Neural Network and Genetic Algorithms for Self-tuning of PI Controller in DSPM Motor Drive System.- An Efficient DC Servo Motor Control Based on Neural Noncausal Inverse Modeling of the Plant.- A Dynamic Time Delay Neural Network for Ultrasonic Motor Identification and Control.- Application of PSO-Optimized Generalized CMAC Control on Linear Motor.- PID Control of Nonlinear Motor-Mechanism Coupling System Using Artificial Neural Network.- Design and Simulation of a Neural-PD Controller for Automatic Balancing of Rotor.- PD Control of Overhead Crane Systems with Neural Compensation.- A Study on Intelligent Control for Hybrid Actuator.- Double Inverted Pendulum Control Based on Support Vector Machines and Fuzzy Inference.- Adaptive Wavelet Neural Network Friction Compensation of Mechanical Systems.- Robotic Systems.- Application of Collective Robotic Search Using Neural Network Based Dual Heuristic Programming (DHP).- RBF Neural Network Based Shape Control of Hyper-redundant Manipulator with Constrained End-Effector.- Robust Adaptive Neural Networks with an Online Learning Technique for Robot Control.- A Particle Swarm Optimized Fuzzy Neural Network Control for Acrobot.- Adaptive Control Based on Recurrent Fuzzy Wavelet Neural Network and Its Application on Robotic Tracking Control.- Dynamic Tracking Control of Mobile Robots Using an Improved Radial Basis Function Neural Network.- Grasping Control of Robot Hand Using Fuzzy Neural Network.- Position Control Based on Static Neural Networks of Anthropomorphic Robotic Fingers.- Control of Voluntary Movements in an Anthropomorphic Robot Finger by Using a Cortical Level Neural Controller.- Learning Control for Space Robotic Operation Using Support Vector Machines.- Neural Networks for Mobile Robot Navigation: A Survey.- Fault Diagnosis for Mobile Robots with Imperfect Models Based on Particle Filter and Neural Network.- Adaptive Neural Network Path Tracking of Unmanned Ground Vehicle.- Power Systems.- A Nuclear Power Plant Expert System Using Artificial Neural Networks.- Short-Term Load Forecasting Based on Mutual Information and Artificial Neural Network.- Short Term Load Forecasting by Using Neural Networks with Variable Activation Functions and Embedded Chaos Algorithm.- Short Term Load Forecasting Using Neural Network with Rough Set.- Application of Neural Network Based on Particle Swarm Optimization in Short-Term Load Forecasting.- Study of Neural Networks for Electric Power Load Forecasting.- A Neural Network Approach to m-Daily-Ahead Electricity Price Prediction.- Next-Day Power Market Clearing Price Forecasting Using Artificial Fish-Swarm Based Neural Network.- Application of Evolutionary Neural Network to Power System Unit Commitment.- Application of BP Neural Network in Power Load Simulator.- Feeder Load Balancing Using Neural Network.- A Neural Network Based Particle Swarm Optimization for the Transformers Connections of a Primary Feeder Considering Multi-objective Programming.- 3-D Partial Discharge Patterns Recognition of Power Transformers Using Neural Networks.- Design of Self-adaptive Single Neuron Facts Controllers Based on Genetic Algorithm.- Generalized Minimum Variance Neuro Controller for Power System Stabilization.- Adaptive Control for Synchronous Generator Based on Pseudolinear Neural Networks.- A Research and Application of Chaotic Neural Network for Marine Generator Modeling.- Ship Synchronous Generator Modeling Based on RST and RBF Neural Networks.- A New Control Strategy of a Wind Power Generation and Flywheel Energy Storage Combined System.- Wavelet-Based Intelligent System for Recognition of Power Quality Disturbance Signals.- Recognition and Classification of Power Quality Disturbances Based on Self-adaptive Wavelet Neural Network.- Vibration Fault Diagnosis of Large Generator Sets Using Extension Neural Network-Type 1.- Fault Data Compression of Power System with Wavelet Neural Network Based on Wavelet Entropy.- Intelligent Built-in Test (BIT) for More-Electric Aircraft Power System Based on Hybrid Generalized LVQ Neural Network.- Low Voltage Risk Assessment in Power System Using Neural Network Ensemble.- Risk Assessment of Cascading Outages in Power Systems Using Fuzzy Neural Network.

巻冊次

pt. 1 ISBN 9783540344391

内容説明

This is Volume I of a three volume set constituting the refereed proceedings of the Third International Symposium on Neural Networks, ISNN 2006. 616 revised papers are organized in topical sections on neurobiological analysis, theoretical analysis, neurodynamic optimization, learning algorithms, model design, kernel methods, data preprocessing, pattern classification, computer vision, image and signal processing, system modeling, robotic systems, transportation systems, communication networks, information security, fault detection, financial analysis, bioinformatics, biomedical and industrial applications, and more.

目次

Neurobiological Analysis.- The Ideal Noisy Environment for Fast Neural Computation.- How Does a Neuron Perform Subtraction? - Arithmetic Rules of Synaptic Integration of Excitation and Inhibition.- Stochastic Resonance Enhancing Detectability of Weak Signal by Neuronal Networks Model for Receiver.- A Gaussian Dynamic Convolution Models of the FMRI BOLD Response.- Cooperative Motor Learning Model for Cerebellar Control of Balance and Locomotion.- A Model of Category Learning with Attention Augmented Simplistic Prototype Representation.- On the Learning Algorithms of Descriptive Models of High-Order Human Cognition.- A Neural Model on Cognitive Process.- Theoretical Analysis.- Approximation Bound of Mixture Networks in Spaces.- Integral Transform and Its Application to Neural Network Approximation.- The Essential Approximation Order for Neural Networks with Trigonometric Hidden Layer Units.- Wavelets Based Neural Network for Function Approximation.- Passivity Analysis of Dynamic Neural Networks with Different Time-Scales.- Exponential Dissipativity of Non-autonomous Neural Networks with Distributed Delays and Reaction-Diffusion Terms.- Convergence Analysis of Continuous-Time Neural Networks.- Global Convergence of Continuous-Time Recurrent Neural Networks with Delays.- Global Exponential Stability in Lagrange Sense of Continuous-Time Recurrent Neural Networks.- Global Exponential Stability of Recurrent Neural Networks with Time-Varying Delay.- New Criteria of Global Exponential Stability for a Class of Generalized Neural Networks with Time-Varying Delays.- Dynamics of General Neural Networks with Distributed Delays.- On Equilibrium and Stability of a Class of Neural Networks with Mixed Delays.- Stability Analysis of Neutral Neural Networks with Time Delay.- Global Asymptotical Stability in Neutral-Type Delayed Neural Networks with Reaction-Diffusion Terms.- Almost Sure Exponential Stability on Interval Stochastic Neural Networks with Time-Varying Delays.- Stochastic Robust Stability of Markovian Jump Nonlinear Uncertain Neural Networks with Wiener Process.- Stochastic Robust Stability Analysis for Markovian Jump Discrete-Time Delayed Neural Networks with Multiplicative Nonlinear Perturbations.- Global Robust Stability of General Recurrent Neural Networks with Time-Varying Delays.- Robust Periodicity in Recurrent Neural Network with Time Delays and Impulses.- Global Asymptotical Stability of Cohen-Grossberg Neural Networks with Time-Varying and Distributed Delays.- LMI Approach to Robust Stability Analysis of Cohen-Grossberg Neural Networks with Multiple Delays.- Existence and Global Stability Analysis of Almost Periodic Solutions for Cohen-Grossberg Neural Networks.- A New Sufficient Condition on the Complete Stability of a Class Cellular Neural Networks.- Stability Analysis of Reaction-Diffusion Recurrent Cellular Neural Networks with Variable Time Delays.- Exponential Stability of Delayed Stochastic Cellular Neural Networks.- Global Exponential Stability of Cellular Neural Networks with Time-Varying Delays and Impulses.- Global Exponential Stability of Fuzzy Cellular Neural Networks with Variable Delays.- Stability of Fuzzy Cellular Neural Networks with Impulses.- Absolute Stability of Hopfield Neural Network.- Robust Stability Analysis of Uncertain Hopfield Neural Networks with Markov Switching.- Asymptotic Stability of Second-Order Discrete-Time Hopfield Neural Networks with Variable Delays.- Convergence Analysis of Discrete Delayed Hopfield Neural Networks.- An LMI-Based Approach to the Global Stability of Bidirectional Associative Memory Neural Networks with Variable Delay.- Existence of Periodic Solution of BAM Neural Network with Delay and Impulse.- On Control of Hopf Bifurcation in BAM Neural Network with Delayed Self-feedback.- Convergence and Periodicity of Solutions for a Class of Discrete-Time Recurrent Neural Network with Two Neurons.- Existence and Global Attractability of Almost Periodic Solution for Competitive Neural Networks with Time-Varying Delays and Different Time Scales.- Global Synchronization of Impulsive Coupled Delayed Neural Networks.- Synchronization of a Class of Coupled Discrete Recurrent Neural Networks with Time Delay.- Chaos and Bifurcation in a New Class of Simple Hopfield Neural Network.- Synchronization of Chaotic System with the Perturbation Via Orthogonal Function Neural Network.- Numerical Analysis of a Chaotic Delay Recurrent Neural Network with Four Neurons.- Autapse Modulated Bursting.- Neurodynamic Optimization.- A Neural Network Model for Non-smooth Optimization over a Compact Convex Subset.- Differential Inclusions-Based Neural Networks for Nonsmooth Convex Optimization on a Closed Convex Subset.- A Recurrent Neural Network for Linear Fractional Programming with Bound Constraints.- A Delayed Lagrangian Network for Solving Quadratic Programming Problems with Equality Constraints.- Wavelet Chaotic Neural Networks and Their Application to Optimization Problems.- A New Optimization Algorithm Based on Ant Colony System with Density Control Strategy.- A New Neural Network Approach to the Traveling Salesman Problem.- Dynamical System for Computing Largest Generalized Eigenvalue.- A Concise Functional Neural Network for Computing the Extremum Eigenpairs of Real Symmetric Matrices.- Learning Algorithms.- A Novel Stochastic Learning Rule for Neural Networks.- Learning with Single Quadratic Integrate-and-Fire Neuron.- Manifold Learning of Vector Fields.- Similarity Measure for Vector Field Learning.- The Mahalanobis Distance Based Rival Penalized Competitive Learning Algorithm.- Dynamic Competitive Learning.- Hyperbolic Quotient Feature Map for Competitive Learning Neural Networks.- A Gradient Entropy Regularized Likelihood Learning Algorithm on Gaussian Mixture with Automatic Model Selection.- Self-organizing Neural Architecture for Reinforcement Learning.- On the Efficient Implementation Biologic Reinforcement Learning Using Eligibility Traces.- Combining Label Information and Neighborhood Graph for Semi-supervised Learning.- A Cerebellar Feedback Error Learning Scheme Based on Kalman Estimator for Tracing in Dynamic System.- An Optimal Iterative Learning Scheme for Dynamic Neural Network Modelling.- Delayed Learning on Internal Memory Network and Organizing Internal States.- A Novel Learning Algorithm for Feedforward Neural Networks.- On H??? Filtering in Feedforward Neural Networks Training and Pruning.- A Node Pruning Algorithm Based on Optimal Brain Surgeon for Feedforward Neural Networks.- A Fast Learning Algorithm Based on Layered Hessian Approximations and the Pseudoinverse.- A Modular Reduction Method for k-NN Algorithm with Self-recombination Learning.- Selective Neural Network Ensemble Based on Clustering.- An Individual Adaptive Gain Parameter Backpropagation Algorithm for Complex-Valued Neural Networks.- Training Cellular Neural Networks with Stable Learning Algorithm.- A New Stochastic PSO Technique for Neural Network Training.- A Multi-population Cooperative Particle Swarm Optimizer for Neural Network Training.- Training RBF Neural Network with Hybrid Particle Swarm Optimization.- Robust Learning by Self-organization of Nonlinear Lines of Attractions.- Improved Learning Algorithm Based on Generalized SOM for Dynamic Non-linear System.- Q-Learning with FCMAC in Multi-agent Cooperation.- Q Learning Based on Self-organizing Fuzzy Radial Basis Function Network.- A Fuzzy Neural Networks with Structure Learning.- Reinforcement Learning-Based Tuning Algorithm Applied to Fuzzy Identification.- A New Learning Algorithm for Function Approximation Incorporating A Priori Information into Extreme Learning Machine.- Robust Recursive Complex Extreme Learning Machine Algorithm for Finite Numerical Precision.- Evolutionary Extreme Learning Machine - Based on Particle Swarm Optimization.- A Gradient-Based ELM Algorithm in Regressing Multi-variable Functions.- A New Genetic Approach to Structure Learning of Bayesian Networks.- Model Design.- Research on Multi-Degree-of-Freedom Neurons with Weighted Graphs.- Output PDF Shaping of Singular Weights System: Monotonical Performance Design.- Stochastic Time-Varying Competitive Neural Network Systems.- Heterogeneous Centroid Neural Networks.- Building Multi-layer Small World Neural Network.- Growing Hierarchical Principal Components Analysis Self-Organizing Map.- Hybrid Neural Network Model Based on Multi-layer Perceptron and Adaptive Resonance Theory.- Evolving Neural Networks Using the Hybrid of Ant Colony Optimization and BP Algorithms.- A Genetic Algorithm with Modified Tournament Selection and Efficient Deterministic Mutation for Evolving Neural Network.- A Neural Network Structure Evolution Algorithm Based on e, m Projections and Model Selection Criterion.- A Parallel Coevolutionary Immune Neural Network and Its Application to Signal Simulation.- A Novel Elliptical Basis Function Neural Networks Optimized by Particle Swarm Optimization.- Fuzzy Neural Network Optimization by a Particle Swarm Optimization Algorithm.- Fuzzy Rule Extraction Using Robust Particle Swarm Optimization.- A New Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with Symbolic Gene Type Genetic Algorithms.- Design of Fuzzy Polynomial Neural Networks with the Aid of Genetic Fuzzy Granulation and Its Application to Multi-variable Process System.- A Novel Self-Organizing Fuzzy Polynomial Neural Networks with Evolutionary FPNs: Design and Analysis.- Design of Fuzzy Neural Networks Based on Genetic Fuzzy Granulation and Regression Polynomial Fuzzy Inference.- A New Fuzzy ART Neural Network Based on Dual Competition and Resonance Technique.- Simulated Annealing Based Learning Approach for the Design of Cascade Architectures of Fuzzy Neural Networks.- A New Fuzzy Identification Method Based on Adaptive Critic Designs.- Impacts of Perturbations of Training Patterns on Two Fuzzy Associative Memories Based on T-Norms.- Alpha-Beta Associative Memories for Gray Level Patterns.- Associative Memories Based on Discrete-Time Cellular Neural Networks with One-Dimensional Space-Invariant Templates.- Autonomous and Deterministic Probabilistic Neural Network Using Global k-Means.- Selecting Variables for Neural Network Committees.- An Adaptive Network Topology for Classification.- A Quantitative Comparison of Different MLP Activation Functions in Classification.- Estimating the Number of Hidden Neurons in a Feedforward Network Using the Singular Value Decomposition.- Neuron Selection for RBF Neural Network Classifier Based on Multiple Granularities Immune Network.- Hierarchical Radial Basis Function Neural Networks for Classification Problems.- Biased Wavelet Neural Network and Its Application to Streamflow Forecast.- A Goal Programming Based Approach for Hidden Targets in Layer-by-Layer Algorithm of Multilayer Perceptron Classifiers.- SLIT: Designing Complexity Penalty for Classification and Regression Trees Using the SRM Principle.- Flexible Neural Tree for Pattern Recognition.- A Novel Model of Artificial Immune Network and Simulations on Its Dynamics.- Kernel Methods.- A Kernel Optimization Method Based on the Localized Kernel Fisher Criterion.- Genetic Granular Kernel Methods for Cyclooxygenase-2 Inhibitor Activity Comparison.- Support Vector Machines with Beta-Mixing Input Sequences.- Least Squares Support Vector Machine on Gaussian Wavelet Kernel Function Set.- A Smoothing Multiple Support Vector Machine Model.- Fuzzy Support Vector Machines Based on Spherical Regions.- Building Support Vector Machine Alternative Using Algorithms of Computational Geometry.- Cooperative Clustering for Training SVMs.- SVMV - A Novel Algorithm for the Visualization of SVM Classification Results.- Support Vector Machines Ensemble Based on Fuzzy Integral for Classification.- An Adaptive Support Vector Machine Learning Algorithm for Large Classification Problem.- SVDD-Based Method for Fast Training of Multi-class Support Vector Classifier.- Binary Tree Support Vector Machine Based on Kernel Fisher Discriminant for Multi-classification.- A Fast and Sparse Implementation of Multiclass Kernel Perceptron Algorithm.- Mutual Conversion of Regression and Classification Based on Least Squares Support Vector Machines.- Sparse Least Squares Support Vector Machine for Function Estimation.- A Multiresolution Wavelet Kernel for Support Vector Regression.- Multi-scale Support Vector Machine for Regression Estimation.- Gradient Based Fuzzy C-Means Algorithm with a Mercer Kernel.- An Efficient Similarity-Based Validity Index for Kernel Clustering Algorithm.- Fuzzy Support Vector Clustering.- An SVM Classification Algorithm with Error Correction Ability Applied to Face Recognition.- A Boosting SVM Chain Learning for Visual Information Retrieval.- Nonlinear Estimation of Hyperspectral Mixture Pixel Proportion Based on Kernel Orthogonal Subspace Projection.- A New Proximal Support Vector Machine for Semi-supervised Classification.- Sparse Gaussian Processes Using Backward Elimination.- Comparative Study of Extreme Learning Machine and Support Vector Machine.- ICA and BSS.- Multi-level Independent Component Analysis.- An ICA Learning Algorithm Utilizing Geodesic Approach.- An Extended Online Fast-ICA Algorithm.- Gradient Algorithm for Nonnegative Independent Component Analysis.- Unified Parametric and Non-parametric ICA Algorithm for Arbitrary Sources.- A Novel Kurtosis-Dependent Parameterized Independent Component Analysis Algorithm.- Local Stability Analysis of Maximum Nongaussianity Estimation in Independent Component Analysis.- Convergence Analysis of a Discrete-Time Single-Unit Gradient ICA Algorithm.- An Novel Algorithm for Blind Source Separation with Unknown Sources Number.- Blind Source Separation Based on Generalized Variance.- Blind Source Separation with Pattern Expression NMF.- Nonlinear Blind Source Separation Using Hybrid Neural Networks.- Identification of Mixing Matrix in Blind Source Separation.- Identification of Independent Components Based on Borel Measure for Under-Determined Mixtures.- Estimation of Delays and Attenuations for Underdetermined BSS in Frequency Domain.- Application of Blind Source Separation to Five-Element Cross Array Passive Location.- Convolutive Blind Separation of Non-white Broadband Signals Based on a Double-Iteration Method.- Multichannel Blind Deconvolution Using a Novel Filter Decomposition Method.- Two-Stage Blind Deconvolution for V-BLAST OFDM System.- Data Preprocessing.- A Comparative Study on Selection of Cluster Number and Local Subspace Dimension in the Mixture PCA Models.- Adaptive Support Vector Clustering for Multi-relational Data Mining.- Robust Data Clustering in Mercer Kernel-Induced Feature Space.- Pseudo-density Estimation for Clustering with Gaussian Processes.- Clustering Analysis of Competitive Learning Network for Molecular Data.- Self-Organizing Map Clustering Analysis for Molecular Data.- A Conscientious Rival Penalized Competitive Learning Text Clustering Algorithm.- Self-Organizing-Map-Based Metamodeling for Massive Text Data Exploration.- Ensemble Learning for Keyphrases Extraction from Scientific Document.- Grid-Based Fuzzy Support Vector Data Description.- Development of the Hopfield Neural Scheme for Data Association in Multi-target Tracking.- Determine Discounting Coefficient in Data Fusion Based on Fuzzy ART Neural Network.- Scientific Data Lossless Compression Using Fast Neural Network.- HyperSurface Classifiers Ensemble for High Dimensional Data Sets.- Designing a Decompositional Rule Extraction Algorithm for Neural Networks.- Estimating Fractal Intrinsic Dimension from the Neighborhood.- Dimensionality Reduction for Evolving RBF Networks with Particle Swarms.- Improved Locally Linear Embedding Through New Distance Computing.- An Incremental Linear Discriminant Analysis Using Fixed Point Method.- A Prewhitening RLS Projection Alternated Subspace Tracking (PAST) Algorithm.- Classification with the Hybrid of Manifold Learning and Gabor Wavelet.- A Novel Input Stochastic Sensitivity Definition of Radial Basis Function Neural Networks and Its Application to Feature Selection.- Using Ensemble Feature Selection Approach in Selecting Subset with Relevant Features.- A New Method for Feature Selection.- Improved Feature Selection Algorithm Based on SVM and Correlation.- Feature Selection in Text Classification Via SVM and LSI.- Parsimonious Feature Extraction Based on Genetic Algorithms and Support Vector Machines.- Feature Extraction for Time Series Classification Using Discriminating Wavelet Coefficients.- Feature Extraction of Underground Nuclear Explosions Based on NMF and KNMF.- Hidden Markov Model Networks for Multiaspect Discriminative Features Extraction from Radar Targets.- Application of Self-organizing Feature Neural Network for Target Feature Extraction.- Divergence-Based Supervised Information Feature Compression Algorithm.

巻冊次

pt. 3 ISBN 9783540344827

内容説明

This book and its sister volumes constitute the Proceedings of the Third International Symposium on Neural Networks (ISNN 2006) held in Chengdu in southwestern China during May 28–31, 2006. After a successful ISNN 2004 in Dalian and ISNN 2005 in Chongqing, ISNN became a well-established series of conferences on neural computation in the region with growing popularity and improving quality. ISNN 2006 received 2472 submissions from authors in 43 countries and regions (mainland China, Hong Kong, Macao, Taiwan, South Korea, Japan, Singapore, Thailand, Malaysia, India, Pakistan, Iran, Qatar, Turkey, Greece, Romania, Lithuania, Slovakia, Poland, Finland, Norway, Sweden, Demark, Germany, France, Spain, Portugal, Belgium, Netherlands, UK, Ireland, Canada, USA, Mexico, Cuba, Venezuela, Brazil, Chile, Australia, New Zealand, South Africa, Nigeria, and Tunisia) across six continents (Asia, Europe, North America, South America, Africa, and Oceania). Based on rigorous reviews, 616 high-quality papers were selected for publication in the proceedings with the acceptance rate being less than 25%. The papers are organized in 27 cohesive sections covering all major topics of neural network research and development. In addition to the numerous contributed papers, ten distinguished scholars gave plenary speeches (Robert J. Marks II, Erkki Oja, Marios M. Polycarpou, Donald C. Wunsch II, Zongben Xu, and Bo Zhang) and tutorials (Walter J. Freeman, Derong Liu, Paul J. Werbos, and Jacek M. Zurada).

目次

Transportation Systems.- Communication Networks.- Information Security.- Fault Detection.- Financial Analysis.- Neuroinformatics.- Bioinformatics.- Biomedical Applications.- Industrial Applications.- Other Applications.- Hardware Implementation.

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詳細情報

• NII書誌ID(NCID): BA77258844
• ISBN:
  • 354034439X
  • 3540344373
  • 3540344829
• LCCN: 2006925897
• 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