Introduction to Neural Networks Using Matlab 6.0
SIVANANDAM
Introduction to Neural Networks Using Matlab 6.0 - 1st - New Delhi Tata McGraw-Hill 2009 - 656p.
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
9780070591127
MATLAB., Neural networks (Computer science)
006.32 SIV-I
Introduction to Neural Networks Using Matlab 6.0 - 1st - New Delhi Tata McGraw-Hill 2009 - 656p.
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
9780070591127
MATLAB., Neural networks (Computer science)
006.32 SIV-I