Principles of Artificial Neural Networks and Simulation Examples

Author: Gao Jun
Publisher:
Publish Date: 2003-08-01
Features: This book takes the structure of neural networks as the main thread and learning algorithms as the secondary thread, providing a detailed introduction to the structure and algorithm steps of neural networks, along with examples and exercises, aiming to make the content easy to understand, hands-on, and applicable. The main contents include: Introduction to Artificial Neural Networks, Single-Layer Forward Networks and LMS Learning Algorithm, Multi-Layer Forward Networks and BP Learning Algorithm, Support Vector Machines and Their Learning Algorithms, Hopfield Neural Networks and Associative Memory, Random Neural Networks and Simulated Annealing Algorithm, Competitive Neural Networks and Cooperative Neural Networks. Each chapter provides MATLAB-based simulation examples and exercises.