Neural Network Design with MATLAB Implementation

The book "Neural Network Design" by Martin T. Hagan, Howard B. Demuth, and Mark H. Beale includes comprehensive MATLAB demonstration program packages that serve as excellent learning resources. These demo packages provide valuable reference material for studying neural network design, helping readers better understand and apply the concepts presented in the book. The MATLAB implementations cover key neural network components including backpropagation algorithms, network training procedures, activation functions, and weight optimization techniques. Furthermore, these demonstration packages offer hands-on programming opportunities, enabling readers to deepen their understanding of neural network design through practical implementation. Each program typically includes complete MATLAB code with detailed comments, data preprocessing steps, network initialization parameters, and visualization of training results. If you want to systematically learn neural network design, I highly recommend studying "Neural Network Design" and utilizing the accompanying MATLAB demonstration packages to gain practical coding experience with various network architectures and learning algorithms.