Β Traditional artificial intelligence (AI) techniques are based around mathematical techniques of symbolic logic, with programming in languages such as Prolog and LISP invented in the 1960s. These are referred to as "crisp" techniques by the soft computing community. The new wave of AI methods seeks
Soft Computing and Intelligent Systems. Theory and Applications
β Scribed by Naresh K. Sinha, Madan M. Gupta and Lotfi A. Zadeh (Eds.)
- Publisher
- Academic Press
- Year
- 1999
- Tongue
- English
- Leaves
- 634
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Table of Contents
Content:
Foreword, Pages ix-x, Lotfi A. Zadeh
Preface, Pages xi-xiii, Naresh K. Sinha, Madan M. Gupta
Acknowledgements, Page xiv
List of contributors, Pages xv-xxi
Chapter 1 - Outline of a Computational Theory of Perceptions Based on Computing with Words, Pages 3-22, L.A. Zadeh
Chapter 2 - Introduction to Soft Computing and Intelligent Control Systems, Pages 23-38, Naresh K. Sinha, Madan M. Gupta
Chapter 3 - Computational Issues in Intelligent Control: Discrete-Event and Hybrid Systems, Pages 39-69, Xenofon D. Koutsoukos, Panos J. Antsaklis
Chapter 4 - Neural Networks: A Guided Tour, Pages 71-80, Simon Haykin
Chapter 5 - Variable Structure Distributed Information Systems Via Genetic Algorithms, Pages 81-109, Abbas K. Zaidi, Alexander H. Levis
Chapter 6 - Evolutionary Algorithms and Neural Networks, Pages 111-136, R.G.S. Asthana
Chapter 7 - Neural Networks and Fuzzy Systems, Pages 137-160, Petr MusΓlek, Madan M. Gupta
Chapter 8 - Fuzzy Neural Networks, Pages 161-184, Petr MusΓlek, Madan M. Gupta
Chapter 9 - A Cursory Look at Parallel Architectures and Biologically Inspired Computing, Pages 185-216, S.K. Basu
Chapter 10 - Developments in Learning Control Systems, Pages 217-253, Jian Xin Xu, Tong Heng Lee, Chang Chieh Hang, Yangquan Chen
Chapter 11 - Techniques for Genetic Adaptive Control, Pages 257-278, William K. Lennon, Kevin M. Passino
Chapter 12 - Cooperative Behavior of Intelligent Agents: Theory and Practice, Pages 279-307, Ljubo Vlacic, Anthony Engwirda, Makoto Kajitani
Chapter 13 - Expert Systems in Process Diagnosis and Control, Pages 309-335, D. Popovic
Chapter 14 - Neural Networks for Identification of Nonlinear Systems: An Overview, Pages 337-356, Pramod Gupta, Naresh K. Sinha
Chapter 15 - Sensor Fusion System Using Recurrent Fuzzy Inference, Pages 357-375, Futoshi Kobayashi, Fumihito Arai, Koji Shimojima, Toshio Fukuda
Chapter 16 - Neurofuzzy State Estimators, Pages 377-402, C.J. Harris, X. Hong, Q. Gan
Chapter 17 - Soft Computing Paradigms for Artificial Vision, Pages 405-417, K.K. Shukla
Chapter 18 - Intelligent Control with Neural Networks, Pages 419-467, D. Popovic
Chapter 19 - Knowledge-based Adaptation of Neurofuzzy Models in Predictive Control of a Heat Exchanger, Pages 469-489, Martin Fischer, Oliver Nelles, Rolf Isermann
Chapter 20 - Neural Network Approximation of Piecewise Continuous Functions: Application to Friction Compensation, Pages 491-517, Rastko R. Ε elmiΔ, Frank L. Lewis
Chapter 21 - Fuzzy Adaptive and Predictive Control of a Thermic Process, Pages 519-547, IgorΕ krjanc, Drago Matko
Chapter 22 - An Intelligent Approach to Positive Target Identification, Pages 549-570, Ram-Nandan P. Singh
Chapter 23 - Adaptive Agents and Artificial Life: Insights for the Power Industry, Pages 571-592, Steven Alex Harp, Tariq Samad
Chapter 24 - Truck Backer-Upper Control Using Dynamic Neural Network, Pages 593-607, Madan M. Gupta, Dandina H. Rao
Chapter 25 - Toward Intelligent Systems: Future Perspectives, Pages 611-620, Madan M. Gupta, Naresh K. Sinha
Major Current Bibliographical Sources on Neural Networks, Fuzzy Logic, and Applications, Pages 621-623
About the editors, Pages 625-627
Index, Pages 629-639
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