Introduction To Neural Networks Using Matlab 6.0
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Introduction To Neural Networks With Matlab 6.0, 1Ed by SIVANANDAM S N ISBN 13: 127 ISBN 10: Paperback; Noida, Uttar Pradesh, India: Mc Graw Hill India, 2006; ISBN-13: 9127. Garmin keygen download.
Tata McGraw-Hill Education Pvt. Ltd., 2012. 5th or later edition. Softcover. New. 18 x 24 cm. This book is designed for the first course on Neural Networks. Integration of MATLAB throughout the book is its unique feature. Beginners to the subject will find the explanations easy to comprehend. Table of contents Chapter 1 Introduction to Neural Networks Chapter 2 Introduction to Artificial Neural Networks Chapter 3 Fundamental Models of Artificial Neural Networks Chapter 4 Perceptron Networks Chapter 5 Adaline and Madaline Networks Chapter 6 Associative Memory Networks Chapter 7 Feedback Networks Chapter 8 Feed Forward Networks Chapter 9 Self Organizing Feature Map Chapter 10 Counter Propagation Network Chapter 11 Adaptive Resonance Theory Chapter 12 Special Networks Chapter 13 Applications of Neural Networks Chapter 14 Applications of Special Networks Chapter 15 Neural Network Projects with MATLAB Chapter 16 Fuzzy Systems Appendix: MATLAB Neural Network Toolbox Index Printed Pages: 656.
Bookseller: BookVistas, India
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Bookseller: BookVistas, India
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Introduction To Neural Networks Using Matlab 6.0 Pdf
S N Sivanandam
Tata McGraw-Hill Education Pvt. Ltd., 2012. 5th or later edition. Softcover. New. 18 x 24 cm. This book is designed for the first course on Neural Networks. Integration of MATLAB throughout the book is its unique feature. Beginners to the subject will find the explanations easy to comprehend. Table of contents Chapter 1 Introduction to Neural Networks Chapter 2 Introduction to Artificial Neural Networks Chapter 3 Fundamental Models of Artificial Neural Networks Chapter 4 Perceptron Networks Chapter 5 Adaline and Madaline Networks Chapter 6 Associative Memory Networks Chapter 7 Feedback Networks Chapter 8 Feed Forward Networks Chapter 9 Self Organizing Feature Map Chapter 10 Counter Propagation Network Chapter 11 Adaptive Resonance Theory Chapter 12 Special Networks Chapter 13 Applications of Neural Networks Chapter 14 Applications of Special Networks Chapter 15 Neural Network Projects with MATLAB Chapter 16 Fuzzy Systems Appendix: MATLAB Neural Network Toolbox Index Printed Pages: 656.
Bookseller: BookVistas, India
Seller rating:
Bookseller: BookVistas, India
Seller rating: