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Physical Models of Neural Networks

Tamas Geszti




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 | #13554392 in Books |  1990-01-01 | Original language:English | PDF # 1 |  8.66 x.0 x.0l,.0 | File type: PDF | 152 pages

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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 ...

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