Computational Intelligence and Its Applications

Evolutionary Computation, Fuzzy Logic, Neural Network and Support Vector Machine Techniques

Nonfiction, Computers, Advanced Computing, Engineering, Neural Networks, Artificial Intelligence, General Computing
Cover of the book Computational Intelligence and Its Applications by H K Lam, Steve S H Ling, Hung T Nguyen, World Scientific Publishing Company
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Author: H K Lam, Steve S H Ling, Hung T Nguyen ISBN: 9781908977076
Publisher: World Scientific Publishing Company Publication: July 17, 2012
Imprint: ICP Language: English
Author: H K Lam, Steve S H Ling, Hung T Nguyen
ISBN: 9781908977076
Publisher: World Scientific Publishing Company
Publication: July 17, 2012
Imprint: ICP
Language: English

This book focuses on computational intelligence techniques and their applications — fast-growing and promising research topics that have drawn a great deal of attention from researchers over the years. It brings together many different aspects of the current research on intelligence technologies such as neural networks, support vector machines, fuzzy logic and evolutionary computation, and covers a wide range of applications from pattern recognition and system modeling, to intelligent control problems and biomedical applications.

Fundamental concepts and essential analysis of various computational techniques are presented to offer a systematic and effective tool for better treatment of different applications, and simulation and experimental results are included to illustrate the design procedure and the effectiveness of the approaches.

Sample Chapter(s)
Chapter 1: Maximal Margin Algorithms for Pose Estimation (658 KB)

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book focuses on computational intelligence techniques and their applications — fast-growing and promising research topics that have drawn a great deal of attention from researchers over the years. It brings together many different aspects of the current research on intelligence technologies such as neural networks, support vector machines, fuzzy logic and evolutionary computation, and covers a wide range of applications from pattern recognition and system modeling, to intelligent control problems and biomedical applications.

Fundamental concepts and essential analysis of various computational techniques are presented to offer a systematic and effective tool for better treatment of different applications, and simulation and experimental results are included to illustrate the design procedure and the effectiveness of the approaches.

Sample Chapter(s)
Chapter 1: Maximal Margin Algorithms for Pose Estimation (658 KB)

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