Intelligent Systems: Modeling, Optimization, And Control
Abstract
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.
Publication Date
1-1-2017
Publication Title
Intelligent Systems: Modeling, Optimization, and Control
Number of Pages
1-433
Document Type
Article; Book Chapter
Personal Identifier
scopus
DOI Link
https://doi.org/10.1201/9781420051773
Copyright Status
Unknown
Socpus ID
85052533159 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85052533159
STARS Citation
Shin, Yung C. and Xu, Chengying, "Intelligent Systems: Modeling, Optimization, And Control" (2017). Scopus Export 2015-2019. 6380.
https://stars.library.ucf.edu/scopus2015/6380