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- Publisher: Imperial College Press
- Year: 2012
- Pages: 320
- ISBN-10: 1848166915
- ISBN-13: 9781848166912
- Format: 15.5 x 22.9 x 2.8 cm, hardcover
- Language: English
- SAVE -10% with code: EXTRA
Computational Intelligence and Its Applications: Evolutionary Computation, Fuzzy Logic, Neural Network and Support Vector Machine Techniques (e-book) (used book) | bookbook.eu
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Description
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.
EXTRA 10 % discount with code: EXTRA
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- Publisher: Imperial College Press
- Year: 2012
- Pages: 320
- ISBN-10: 1848166915
- ISBN-13: 9781848166912
- Format: 15.5 x 22.9 x 2.8 cm, hardcover
- Language: English 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.
Reviews