Adedeji Badiru – Fuzzy Engineering Expert Systems with Neural Network Applications
Series: Engineering Design and Automation (Book 10)
Hardcover: 320 pages
Publisher: Wiley-Interscience; 1 edition (July 15, 2002)
Product Dimensions: 6.3 x 0.8 x 9.5 inches
Shipping Weight: 1.3 pounds (View shipping rates and policies)
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Amazon Best Sellers Rank: #6,534,747 in Books (See Top 100 in Books)
Illustrative, up-to-date coverage of integrated AI models
Fuzzy Engineering Expert Systems with Neural Network Applications presents three popular areas of artificial intelligence in an integrated and practical format. The decision-making paths of expert systems, fuzzy systems, and neural networks have been successfully applied independently to problems in business, industry, and research. In a combined form-as they are presented here-the collective models act as a powerful tool to solve difficult and ill-structured decision problems.
Generously supplemented with case studies and examples taken from real-world research, this book also features:
* Detailed studies of each individual model
* A rigorous integration of fuzzy systems with neural networks and evolutionary computing using the latest analytical techniques
* Examinations of related theories and concepts
* Applications for general business and engineering
* Simulation models
Fuzzy Engineering Expert Systems with Neural Network Applications is an invaluable book for engineers, scientists, and business managers involved in technology-based industries and manufacturing facilities, as well as students in these disciplines.
About the Author
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.
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