Foundations of neural networks, fuzzy systems, and knowledge engineering
By: Nikola K. Kasabov.
Publisher: MIT Press
Published: 1996
Place of publication: Cambridge, Mass
Language: eng
Number of pages: 550
Subjects: Expert systems (Computer science); Neural networks (Computer science); Fuzzy systems; Artificial intelligence
Notes: Includes bibliographical references (p. [523]-538) and index.
"A Bradford book."
Table of contents: title: Foreword
pagenum: xi; title: Preface
pagenum: xiii; label: 1
title: The Faculty of Knowledge Engineering and Problem Solving
pagenum: 1; label: 1.1
title: Introduction to AI paradigms
pagenum: 1; label: 1.2
title: Heuristic problem solving; genetic algorithms
pagenum: 3; label: 1.3
title: Why expert systems, fuzzy systems, neural networks, and hybrid systems for knowledge engineering and problem solving?
pagenum: 14; label: 1.4
title: Generic and specific AI problems: Pattern recognition and classification
pagenum: 19; label: 1.5
title: Speech and language processing
pagenum: 28; label: 1.6
title: Prediction
pagenum: 42; label: 1.7
title: Planning, monitoring, diagnosis, and control
pagenum: 49; label: 1.8
title: Optimization, decision making, and games playing
pagenum: 57; label: 1.9
title: A general approach to knowledge engineering
pagenum: 65; label: 1.10
title: Problems and exercises
pagenum: 68; label: 1.11
title: Conclusion
pagenum: 72; label: 1.12
title: Suggested reading
pagenum: 73; label: 2
title: Knowledge Engineering and Symbolic Artificial Intelligence
pagenum: 75; label: 2.1
title: Data, information, and knowledge: Major issues in knowledge engineering
pagenum: 75; label: 2.2
title: Data analysis, data representation, and data transformation
pagenum: 80; label: 2.3
title: Information structures and knowledge representation
pagenum: 89; label: 2.4
title: Methods for symbol manipulation and inference: Inference as matching; inference as a search
pagenum: 100; label: 2.5
title: Propositional logic
pagenum: 110; label: 2.6
title: Predicate logic: PROLOG
pagenum: 113; label: 2.7
title: Production systems
pagenum: 118; label: 2.8
title: Expert systems
pagenum: 128; label: 2.9
title: Uncertainties in knowledge-based systems: Probabilistic methods
pagenum: 132; label: 2.10
title: Nonprobabilistic methods for dealing with uncertainties
pagenum: 140; label: 2.11
title: Machine-learning methods for knowledge engineering
pagenum: 146; label: 2.12
title: Problems and exercises
pagenum: 155; label: 2.13
title: Conclusion
pagenum: 164; label: 2.14
title: Suggested reading
pagenum: 164; label: 3
title: From Fuzzy Sets to Fuzzy Systems
pagenum: 167; label: 3.1
title: Fuzzy sets and fuzzy operations
pagenum: 167; label: 3.2
title: Fuzziness and probability; conceptualizing in fuzzy terms; the extension principle
pagenum: 175; label: 3.3
title: Fuzzy relations and fuzzy implications; fuzzy propositions and fuzzy logic
pagenum: 184; label: 3.4
title: Fuzzy rules, fuzzy inference methods, fuzzification and defuzzification
pagenum: 192; label: 3.5
title: Fuzzy systems as universal approximators; Interpolation of fuzzy rules
pagenum: 205; label: 3.6
title: Fuzzy information retrieval and fuzzy databases
pagenum: 208; label: 3.7
title: Fuzzy expert systems
pagenum: 215; label: 3.8
title: Pattern recognition and classification, fuzzy clustering, image and speech processing
pagenum: 223; label: 3.9
title: Fuzzy systems for prediction
pagenum: 229; label: 3.10
title: Control, monitoring, diagnosis, and planning
pagenum: 230; label: 3.11
title: Optimization and decision making
pagenum: 234; label: 3.12
title: Problems and exercises
pagenum: 236; label: 3.13
title: Conclusion
pagenum: 248; label: 3.14
title: Suggested reading
pagenum: 249; label: 4
title: Neural Networks: Theoretical and Computational Models
pagenum: 251; label: 4.1
title: Real and artificial neurons
pagenum: 251; label: 4.2
title: Supervised learning in neural networks: Perceptrons and multilayer perceptrons
pagenum: 267; label: 4.3
title: Radial basis functions, time-delay neural networks, recurrent networks
pagenum: 282; label: 4.4
title: Neural network models for unsupervised learning: Adaptive resonance theory
pagenum: 288; label: 4.5
title: Kohonen self-organizing topological maps
pagenum: 293; label: 4.6
title: Neural networks as associative memories
pagenum: 300; label: 4.7
title: On the variety of neural network models
pagenum: 307; label: 4.8
title: Fuzzy neurons and fuzzy neural networks
pagenum: 314; label: 4.9
title: Hierarchical and modular connectionist systems
pagenum: 320; label: 4.10
title: Problems
pagenum: 323; label: 4.11
title: Conclusion
pagenum: 328; label: 4.12
title: Suggested reading
pagenum: 329; label: 5
title: Neural Networks for Knowledge Engineering and Problem Solving
pagenum: 331; label: 5.1
title: Neural networks as a problem-solving paradigm
pagenum: 331; label: 5.2
title: Connectionist expert systems
pagenum: 340; label: 5.3
title: Connectionist models for knowledge acquisition: One rule is worth a thousand data examples
pagenum: 347; label: 5.4
title: Symbolic rules insertion in neural networks: Connectionist production systems
pagenum: 359; label: 5.5
title: Connectionist systems for pattern recognition and classification; image processing
pagenum: 365; label: 5.6
title: Connectionist systems for speech processing
pagenum: 375; label: 5.7
title: Connectionist systems for prediction
pagenum: 388; label: 5.8
title: Connectionist systems for monitoring, control, diagnosis, and planning
pagenum: 398; label: 5.9
title: Connectionist systems for optimization and decision making
pagenum: 402; label: 5.10
title: Connectionist systems for modeling strategic games
pagenum: 405; label: 5.11
title: Problems
pagenum: 409; label: 5.12
title: Conclusions
pagenum: 418; label: 5.13
title: Suggested reading
pagenum: 418; label: 6
title: Hybrid Symbolic, Fuzzy, and Connectionist Systems: Toward Comprehensive Artificial Intelligence
pagenum: 421; label: 6.1
title: The hybrid systems paradigm
pagenum: 421; label: 6.2
title: Hybrid connectionist production systems
pagenum: 429; label: 6.3
title: Hybrid connectionist logic programming systems
pagenum: 433; label: 6.4
title: Hybrid fuzzy connectionist production systems
pagenum: 435; label: 6.5
title: ("Pure") connectionist production systems: The NPS architecture (optional)
pagenum: 442; label: 6.6
title: Hybrid systems for speech and language processing
pagenum: 455; label: 6.7
title: Hybrid systems for decision making
pagenum: 460; label: 6.8
title: Problems
pagenum: 462; label: 6.9
title: Conclusion
pagenum: 473; label: 6.10
title: Suggested reading
pagenum: 473; label: 7
title: Neural Networks, Fuzzy Systems, and Nonlinear Dynamical Systems: Chaos; Toward New Connectionist and Fuzzy Logic Models
pagenum: 475; label: 7.1
title: Chaos
pagenum: 475; label: 7.2
title: Fuzzy systems and chaos: New developments in fuzzy systems
pagenum: 481; label: 7.3
title: Neural networks and chaos: New developments in neural networks
pagenum: 486; label: 7.4
title: Problems
pagenum: 497; label: 7.5
title: Conclusion
pagenum: 502; label: 7.6
title: Suggested reading
pagenum: 503; title: Appendixes
pagenum: 505; title: References
pagenum: 523; title: Glossary
pagenum: 539; title: Index
pagenum: 547