Quo vadis computational intelligence? : new trends and approaches in computational intelligence
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Bibliographic Information
Quo vadis computational intelligence? : new trends and approaches in computational intelligence
（Studies in fuzziness and soft computing, v. 54）
Physica-Verlag, c2000
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Includes bibliographical references
Description and Table of Contents
Description
Computational intelligence integrates fields like neural networks, fuzzy systems, evolutionary computation and intelligent systems in general. The new trends consist in the cooperation of various techniques into hybrid intelligent systems. This multi-author book with contributions from leading scientists as G. Carpenter, L. Zadeh, K. Fukushima, N. Kasabov, K. Hirota, H. Takagi, H. Adeli, B. Igelnik, L. Koczy, J. Kacprzyk, C. Moraga, T. Gedeon and many others presents interesting and promising aspects of the future of computational intelligence as an important part of intelligent information systems. With a foreword written by J. Bezdek who first published the notion of computational intelligence.
Table of Contents
Neural Networks: G.A. Carpenter: ART Neural Networks: Distributed Coding and ARTMAP Applications.- K. Fukushima: Neural Network Models for Vision.- V. Kurkova: Rates of Approximation by Neural Networks.- M. Jirina jr., M. Jirina: Neural Classifier Using Hyperspheres.- P. Tino, M. Stancik, L. Benuskova: Building Predicitive Models on Complex Symbolic Sequences via a First-Order Recurrent BCM Network with Lateral Inhibition.- L. Perrinet, A. Delorme, M. Samuelides, S. Thorpe: Network of Integrate-and-Fire Neurons Using Rank Order Coding: How to Implement Hebbian Learning.- A.N. Skourikhine: Pulse-Couples Neural Networks for Image Smoothing and Segmentation.- B. Igelnik: Some New Adaptive Architectures for Learning, Generalization, and Visualization of Multivariate Data.- S. Papadimitriou, A. Bezerianos, L. Vladutu, S. Mavroudi, G. Pavlides: Generalized Radial-Basis Function Neural Networks for Data Mining of Symbolic Data.- A.P. Engelbrecht: Data Generation Using Sensitivity Analysis.- E.A.M. Lofty, A.S. Mohamed: Applying Neural Networks in Case-Based Reasoning Adaptation for Cost Assessment of Steel Buildings.- K. Saeed: A Projection Approach for Arabic Handwritten Characters Recognition.- R.G. Pearson, T.P. Dawson, P.M. Berry, P.A. Harrison, R. Lampinen: Neural Network Modelling of the Potential Redistribution of Plant Species in Response to Climate Change. Fuzzy Systems: L.A. Zadeh: Fuzzy Logic = Computing with Words.- J. Kacprzyk, S. Zadrozny: Computing with Words: Towards a New Generation of Linguistic Querying and Summarization of Databases.- E. Pap: Is the Todays Mathematics Ready for the Computational Intelligence?- J.C. Bezdek, R.J. Hathaway: Some New Ways to Cluster in Incomplete Data.- K. Hirota, M. Xu, Y. Takama: Fuzzy Legal Expert System (FLES) for CISG.- R. Mesiar: Fuzzy Calculus Based on Continuous Archimedean t.Norms: A Basis for Intelligent Computing.- V. Vigneron: Connecting Fuzzy and Statistical Analysis with Qualitative Maps.- S. Varga: Robust Estimations in Fuzzy Linear Regression Models.- A. Szakal, K. Lorincz: On Construction of Distance Measure, Similarity Measure and Evolutionary Operators.- W. Duch, Y. Hayashi: Computational Intelligence Methods and Data Understanding.- T.H. Cao: On the Model-Theoretic Semantics of Fuzzy Set Logic for Dealing with Inconsistency.- A. Laurent, B. Bouchon-Meunier, A. Doucet, S. Gancarski, C. Marsala: Fuzzy Data Mining from Multidimensional Databases.- G. Thackrah, M. Barnsley, P. Pan: Evaluation of the Accuracy of Merged Land Cover Classifications Made Using a Fuzzy Integral. Miscellaneous CI Techniques: V. Kvasnicka: An Evolutionary Model of Symbiosis.- J. Kubalik, J. Lazansky: New Genetic Operator with Enhanced Capabilities.- A. Almos, A.R. Varkonyi-Koczy: Genetic Methods for Point Labeling on Maps.- P. Osmera, J. Roupec, R. Matousek: Genetic Algorithms with Diploid Chromosomes and Sexual Reproduction.- M. Polak, J. Kadukova: Artificial Life Simulation of Living Algae Cells.- M. Gams: Information and Intelligence Fusion.- J. Kelemen: On Post-Modularity and Emergence from a Grammar-Theoretic Point of View. Hybrid Systems: J. Sima: Review of Integration Strategies in Neural Hybrid Systems.- N. Kasabov: Evolving and Evolutionary Connectionist Systems for On-line Learning and Knowledge Engineering.- H. Takagi: Computaional Intelligence with Human Capability.- C. Moraga: Neuro-fuzzy Modeling of Compensating Systems.- H. Adeli, A. Samant: Wavelets to Enhance Computational Intelligence.- P. Sincak, N. Kopco, M. Hrickova, S. Kaleta, H. Veregin: Multispectral Image Processing Using Computational Intelligence.- R. Smolikova, M.G.-H. Mostafa, J.M. Zurada, A.A. Farag: Classification of Multispectral Data Using Fuzzy Neural Networks.- E. Merenyi: "Precision Mining" of High-Dimensional Patterns with Self-Organizing Maps: Interpretation of Hyperspectral Images.- A. Ramer, M. do Carmo Nicoletti: The Symbolic Side of a Neuro-Fuzzy System.- T.D. Gedeon: Indicators of Input Contributions: Comparing Magnitude and Sensitivity Measures.- L.T. Koczy, D. Tikk, T.D. Gedeon: On Fuzzy Controllers Implementing RBF Approximation Scheme.- L. Rutkowski, K. Cpalka: Flexible Structures of Neuro-Fuzzy Systems.- A.A. Odusanya, M.O. Odetayo, R.N.G. Naguib, D. Petrovic: A review of Soft Computing and Gynaecological Cancer.- S.C. Tan, C.P. Lim: Rule Extraction from an Adaptive Neural Network for Fault Diagnosis.
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