Theoretical Basis of Large-Scale Artificial Neural Networks

Author: Luo Siwei
Publisher:
Publish Date: 2004-02-01
Features: The content of this book includes the research achievements of the author and his Ph.D. students, as well as the new material taught by the author to graduate students over many years in this research field. The book is written in an accessible and well-organized manner, emphasizing coherence throughout to facilitate reader understanding and mastery. It is suitable as a textbook for graduate courses in computer science or signal processing, or as a reference for scientists and engineers working in this field. The book discusses relevant system theories and methods from the perspective of constructing large-scale artificial neural network systems. The main content includes the distributed systems theory of artificial neural networks (thermodynamic methods), information theory methods, and neural field methods based on information geometry. These contents are important theoretical foundations for further constructing practical large-scale artificial neural networks and conducting in-depth research on artificial neural networks and large-scale distributed systems.