Neural Networks and Applications

Author: Dong Changhong
Publisher:
Publish Date: 2005-01-01
Features: MATLAB is a high-performance computer programming language developed by MathWorks, integrating mathematical computation, graphical display, and language design. Its powerful extension capabilities provide users with a broad application space. It comes with over 30 toolboxes, and the Neural Network Toolbox is one of them. This book is based on the Neural Network Toolbox v4.0.2 for MATLAB 6.5 and introduces the principles and applications of the MATLAB Neural Network Toolbox in a step-by-step, illustrated manner within the M-book data, graphics, and text environment. The book is divided into 11 chapters. It first describes the structure models, design, and training of various types of neural networks, supplemented by numerous application examples. It then introduces the neural network graphical user interface and how to design neural networks in the Simulink environment. Finally, it provides methods for customizing neural networks. The book covers a wide range of content with rich examples, making it a valuable reference for faculty and students in computer science, electronic engineering, control engineering, applied mechanics, information science, mathematics, and mechanical engineering, as well as for a broad range of professionals working in these fields.