Physical Models of Neural Networks is popular PDF and ePub book, written by Tam s Geszti in 1990, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Physical Models of Neural Networks can be Read Online from any device for your convenience.
Physical Models of Neural Networks Book PDF Summary
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.
Detail Book of Physical Models of Neural Networks PDF
- Author : Tam s Geszti
- Release : 21 September 1990
- Publisher : World Scientific
- ISBN : 9810200129
- Genre : Computers
- Total Page : 158 pages
- Language : English
- PDF File Size : 19,8 Mb
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