Description
Book SynopsisNeural networks and fuzzy systems represent two distinct technologies that deal with uncertainty. Researchers are applying neural networks and fuzzy systems in series, from the use of fuzzy inputs and outputs for neural networks to the employment of individual neural networks to quantify the shape of a fuzzy membership function.
Table of ContentsIntroduction to Hybrid Artificial Intelligence Systems.
FUZZY SYSTEMS: CONCEPTS AND FUNDAMENTALS.
Foundations of Fuzzy Approaches.
Fuzzy Relations.
Fuzzy Numbers.
Linguistic Descriptions and Their Analytical Forms.
Fuzzy Control.
NEURAL NETWORKS: CONCEPTS AND FUNDAMENTALS.
Fundamentals of Neural Networks.
Backpropagation and Related Training Algorithms.
Competitive, Associative, and Other Special Neural Networks.
Dynamic Systems and Neural Control.
Practical Aspects of Using Neural Networks.
INTEGRATED NEURAL-FUZZY TECHNOLOGY.
Fuzzy Methods in Neural Networks.
Fuzzy Methods in Fuzzy Systems.
Selected Hybrid Neurofuzzy Applications.
Dynamic Hybrid Neurofuzzy Systems.
OTHER ARTIFICAL INTELLIGENCE SYSTEMS.
Expert Systems in Neurofuzzy Systems.
Genetic Algorithms.
Epilogue.
Appendix.
Index.
