Description

Book Synopsis

Neural 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 Contents

Introduction 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.

Fuzzy Engineering 10 Adaptive and Cognitive Dynamic Systems Signal Processing Learning Communications and Control

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    A Hardback by Lefteri H. Tsoukalas, Robert E. Uhrig, Lotfi A. Zadeh

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      Book details

      Publisher Wiley-Interscience
      Published 17 February 1997
      ISBN-13 9780471160038
      978-0471160038
      ISBN-10 0471160032
      Also in:
      Maths for computer scientists Maths for engineers

      Description

      Book Synopsis

      Neural 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 Contents

      Introduction 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.

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