Neural Network Theory and Applications for MATLAB Toolboxes

Author: Cong Shuang
Publisher:
Publish Date: 2003-12-01
Features: This book utilizes the currently popular and widely used MATLAB 6.1 environment, combined with the Neural Network Toolbox 4.0 version, to introduce various typical neural networks in artificial neural networks in an in-depth and easy-to-understand manner. Such as: perceptron, adaptive linear element, backpropagation network, counter-collapsing network, self-organizing competitive network, feature maps, and other artificial neural network structures, functions, learning rules, and the basic training process. On this basis, network design and applications are carried out using MATLAB toolboxes, and performance analysis and intuitive graphical results of various neural networks in different applications are provided. This allows readers to have a more accurate understanding of the performance and advantages of various neural networks, thereby achieving the goal of applying artificial neural networks correctly, reasonably, and sufficiently.