Introduction to the theory of neural computation / John Hertz, Anders Krogh, Richard G. Palmer.
Series: Santa Fe Institute studies in the sciences of complexity. v. 1Publisher: Redwood City, Calif. : Addison-Wesley Pub. Co., c1991Description: xxii, 327 p. : ill. ; 25 cmISBN: 0201503956; 0201515601 (pbk.)Subject(s): Neural computers | Neural networks (Neurobiology)DDC classification: 006.3,HER
Contents:
Introduction (Page-1), The Hopfield Model (Page-11), Extensions of the Hopfield Model (Page-43), Optimization Problems (Page-71), Simple Perceptrons (Page-89), Multi-Layer Networks (Page-115), Recurrent Networks (Page-183), Unsupervised Hebbain Learning (Page-197), Unsupervised Competitive Learning (Page-217), Formal Statistical Mechanics of Neural Networks (Page-251).
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Military College of Signals (MCS) | Military College of Signals (MCS) | General Stacks | 006.3,HER (Browse shelf) | Link to resource | Available | Almirah No.73, Shelf No.2 | MCS539 |
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Introduction (Page-1), The Hopfield Model (Page-11), Extensions of the Hopfield Model (Page-43), Optimization Problems (Page-71), Simple Perceptrons (Page-89), Multi-Layer Networks (Page-115), Recurrent Networks (Page-183), Unsupervised Hebbain Learning (Page-197), Unsupervised Competitive Learning (Page-217), Formal Statistical Mechanics of Neural Networks (Page-251).
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