Physical Models of Neural Networks (Hardcover) (ISBN-13: 9789810200121)

This lecture note volume is mainly about the recent development that connected neural network modeling to the theoretical physics of disordered systems. It gives a detailed account of the (Little-) Hopfield model and its ramifications concerning non-orthogonal and hierarchical patterns, short-term memory, time sequences, and dynamical learning algorithms. It also offers a brief introduction to computation in layered feed-forward networks, trained by back-propagation and other methods. Kohonen's self-organizing feature map algorithm is discussed in detail as a physical ordering process. The book offers a minimum complexity guide through the often cumbersome theories developed around the Hopfield model. The physical model for the Kohonen self-organizing feature map algorithm is new, enabling the reader to better understand how and why this fascinating and somewhat mysterious tool works.

Author: Tamas Geszti
ISBN-10: 9810200129
ISBN-13: 9789810200121
Publisher: World Scientific Publishing Company
Language: English
Published: 01/01/1990
Pages: 152
Format: Hardcover