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Intelligent Systems: Modeling, Optimization, and Control: Automation and Control Engineering

Autor Yung C. Shin, Chengying Xu
en Limba Engleză Hardback – 22 dec 2008
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.
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Specificații

ISBN-13: 9781420051766
ISBN-10: 1420051768
Pagini: 452
Ilustrații: 2 Halftones, black and white; 48 Tables, black and white; 234 Illustrations, black and white
Dimensiuni: 156 x 234 x 30 mm
Greutate: 0.77 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Automation and Control Engineering


Public țintă

Professional

Cuprins

Intelligent Systems. Intelligent Modeling. Intelligent Optimization. Intelligent Control. Application Examples.

Recenzii

"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

Descriere

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.