Wow! eBook
Physical Models Of Neural Networks
Author(s): Tamas Geszti (Author)
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication Date: 1 Jan. 1990
- Language: English
- Print length: 152 pages
- ISBN-10: 9789810200121
- ISBN-13: 9810200129
Book Description
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.
