Fuzzy Engineering Expert Systems with Neural Network Applications / Edition 1

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Overview

Provides an up-to-date integration of expert systems with fuzzy logic and neural networks.

  • Includes coverage of simulation models not present in other books.
  • Presents cases and examples taken from the authors' experience in research and applying the technology to real-world situations.
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Product Details

  • ISBN-13: 9780471293316
  • Publisher: Wiley
  • Publication date: 7/28/2002
  • Series: Engineering Design and Automation Series, #10
  • Edition number: 1
  • Pages: 320
  • Product dimensions: 6.42 (w) x 9.41 (h) x 0.81 (d)

Meet the Author

ADEDEJI B. BADIRU, PhD, is Professor and Department Head ofIndustrial Engineering at the University of Tennessee in Knoxville.He has written many books, including Project Management inManufacturing and High Technology Operations, Second Edition;Industry's Guide to ISO 9000; and Managing Industrial DevelopmentProjects: A Project Management Approach, all published byWiley.
JOHN Y. CHEUNG, PhD, is Professor of Electrical Engineering at theUniversity of Oklahoma in Norman. He is the author of ModernDigital Systems Design and hundreds of journal articles andconference proceedings.

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Table of Contents

Preface.

Artificial Intelligence.

Fundamentals of Expert Systems.

Problem Analysis.

Knowledge Engineering.

Probabilistic and Fuzzy Reasoning.

Fuzzy Systems.

Neural Networks.

Neural-Fuzzy Networks.

Evolutionary Computing.

Intelligent Strategy Generation in Complex ManufacturingEnvironments.

Products Demand Forecasting Using Genetic Programming.

References.

Index.

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