Physical Models of Neural Networks

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9789810200121: Physical Models of Neural Networks
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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.

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Geszti, Tamas
Published by World Scientific Publishing Co (1990)
ISBN 10: 9810200129 ISBN 13: 9789810200121
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Murray Media
(NORTH MIAMI BEACH, FL, U.S.A.)
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Book Description World Scientific Publishing Co, 1990. Hardcover. Condition: New. Never used!. Seller Inventory # P119810200129

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