Fuzzy Engineering Expert Systems with Neural Network Applications
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- Wiley
More About This Title Fuzzy Engineering Expert Systems with Neural Network Applications
English
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.
English
ADEDEJI B. BADIRU, PhD, is Professor and Department Head of Industrial Engineering at the University of Tennessee in Knoxville. He has written many books, including Project Management in Manufacturing and High Technology Operations, Second Edition; Industry's Guide to ISO 9000; and Managing Industrial Development Projects: A Project Management Approach, all published by Wiley.
JOHN Y. CHEUNG, PhD, is Professor of Electrical Engineering at the University of Oklahoma in Norman. He is the author of Modern Digital Systems Design and hundreds of journal articles and conference proceedings.
JOHN Y. CHEUNG, PhD, is Professor of Electrical Engineering at the University of Oklahoma in Norman. He is the author of Modern Digital Systems Design and hundreds of journal articles and conference proceedings.
English
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 Manufacturing Environments.
Products Demand Forecasting Using Genetic Programming.
References.
Index.
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 Manufacturing Environments.
Products Demand Forecasting Using Genetic Programming.
References.
Index.
