Overview
Providing a thorough introduction to the field of soft computing techniques, Intelligent Systems: Modeling, Optimization, and Control covers every major technique in artificial intelligence in a clear and practical style. This book highlights current research and applications, addresses issues encountered in the development of applied systems, and describes a wide range of intelligent systems techniques, including neural networks, fuzzy logic, evolutionary strategy, and genetic algorithms. The book demonstrates concepts through simulation examples and practical experimental results. Case studies are also presented from each field to facilitate understanding.
Full Product Details
Author: Yung C. Shin (Purdue University, West Lafayette, Indiana, USA) ,
Chengying Xu (University of Central Florida, Orlando, USA)
Publisher: Taylor & Francis Inc
Imprint: CRC Press Inc
Volume: v. 30
Dimensions:
Width: 15.60cm
, Height: 3.00cm
, Length: 23.40cm
Weight: 0.771kg
ISBN: 9781420051766
ISBN 10: 1420051768
Pages: 452
Publication Date: 22 December 2008
Audience:
Professional and scholarly
,
Professional and scholarly
,
Professional & Vocational
,
Postgraduate, Research & Scholarly
Format: Hardback
Publisher's Status: Active
Availability: In Print
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Reviews
Coordinating the diversity of their experience, the authors: provide unique and systematic explanations for the modeling of nonlinear systems, optimization, and control of various engineering problems, without depending on mathematical models . . . gives industrial researchers and practitioners a detailed analysis of practical issues in the development of applied intelligent systems . . . Equally useful for graduate students and those familiarizing themselves with the nuances of the field, it uses case studies, simulation examples and practical experimental results throughout to illustrate relevant theory and algorithms. - In MCEER, 2009
Coordinating the diversity of their experience, the authors: provide unique and systematic explanations for the modeling of nonlinear systems, optimization, and control of various engineering problems, without depending on mathematical models . . . gives industrial researchers and practitioners a detailed analysis of practical issues in the development of applied intelligent systems . . . Equally useful for graduate students and those familiarizing themselves with the nuances of the field, it uses case studies, simulation examples and practical experimental results throughout to illustrate relevant theory and algorithms. - In MCEER, 2009
Author Information
Yung C. Shin, Chengying Xu
