UID:
edocfu_9959235987902883
Format:
1 online resource (437 p.)
ISBN:
1-281-04973-5
,
9786611049737
,
0-08-055319-2
Series Statement:
Neural network systems, techniques, and applications ; v. 6
Content:
This volume covers the integration of fuzzy logic and expert systems. A vital resource in the field, it includes techniques for applying fuzzy systems to neural networks for modeling and control, systematic design procedures for realizing fuzzy neural systems, techniques for the design of rule-based expert systems using the massively parallel processing capabilities of neural networks, the transformation of neural systems into rule-based expert systems, the characteristics and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, and rough sets, and applications to sy
Note:
Description based upon print version of record.
,
Front Cover; Fuzzy Logic and Expert Systems Applications; Copyright Page; Contents; Contributors; Preface; Chapter 1. Fuzzy Neural Networks Techniques and Their Applications; I. Introduction; II. Fuzzy Classification and Fuzzy Modeling by Nonfuzzy Neural Networks; III. Interval-Arithmetic-Based Neural Networks; IV. Fuzzified Neural Networks; V. Conclusion; References; Chapter 2. Implementation of Fuzzy Systems; I. Introduction; II. Structure of Fuzzy Systems for Modeling and Control; III. Design 1: A Fuzzy Neural Network with an Additional OR Layer
,
IV. Design 2: A Fuzzy Neural Network Based on Hierarchical Space PartitioningV. Conclusion; Appendix; References; Chapter 3. Neural Networks and Rule-Based Systems; I. Introduction; II. Nonlinear Thresholded Artificial Neurons; III. Production Rules; IV. Forward Chaining; V. Chunking; VI. Neural Tools for Uncertain Reasoning: Toward Hybrid Extensions; VII. Qualitative and Quantitative Uncertain Reasoning; VIII. Purely Neural, Rule-Based Diagnostic System; IX. Conclusions; References; Chapter 4. Construction of Rule-Based Intelligent Systems; I. Introduction; II. Representation of a Neuron
,
III. Converting Neural Networks to Boolean FunctionsIV. Example Application of Boolean Rule Extraction; V. Network Design, Pruning, and Weight Decay; VI. Simplifying the Derived Rule Base; VII. Example of the Construction of a Rule-Based Intelligent System; VIII. Using Rule Extraction to Verify the Networks; IX. Conclusions; References; Chapter 5. Expert Systems in Soft Computing Paradigm; I. Introduction; II. Expert Systems: Some Problems and Relevance of Soft Computing; III. Connectionist Expert Systems: A Review; IV. Neuro-Fuzzy Expert Systems; V. Other Hybrid Models; VI. Conclusions
,
ReferencesChapter 6. Mean-Value-Based Functional Reasoning Techniques in the Development of Fuzzy-Neural Network Control Systems; I. Introduction; II. Fuzzy Reasoning Schemes; III. Design of the Conclusion Part in Functional Reasoning; IV. Fuzzy Gaussian Neural Networks; V. Attitude Control Application Example; VI. Mobile Robot Example; VII. Conclusions; References; Chapter 7. Fuzzy Neural Network Systems in Model Reference Control Systems; I. Introduction; II. Fuzzy Neural Network; III. Mapping Capability of the Fuzzy Neural Network
,
IV. Model Reference Control System Using a Fuzzy Neural NetworkV. Simulation Results; VI. Conclusions; References; Chapter 8. Wavelets in Identification; I. Introduction, Motivations, Basic Problems; II ""Classical"" Methods of Nonlinear System Identification; III. Wavelets: What They Are, and Their Use in Approximating Functions; IV. Wavelets: Their Use in Nonparametric Estimation; V. Wavelet Network for Practical System Identification; VI. Fuzzy Models: Expressing Prior Knowledge in Nonlinear Nonparametric Models; VII. Experimental Results; VIII. Discussion and Conclusions
,
IX. Appendix: Three Methods for Regressor Selection
,
English
Additional Edition:
ISBN 0-12-443866-0
Language:
English
