Principles of artificial neural networks / Daniel Graupe.
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TextSeries: Advanced series on circuits and systems: v. 6.Publisher: Singapore ; Hackensack, N.J. : World Scientific, c2007Edition: 2nd edDescription: xv, 303 p. : ill. ; 26 cmISBN: 9812706240; 9789812706249Subject(s): Neural networks (Computer science)DDC classification: 006.3/2 LOC classification: QA76.87 | G77 2007| Item type | Current library | Call number | Copy number | Status | Notes | Date due | Barcode |
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Main Library | QA76.87 G77 2007 (Browse shelf (Opens below)) | 1 | Available | STACKS | 51952000058908 |
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Includes bibliographical references (p. 291-297) and indexes.
Fundamentals of biological neural networks -- Basic principles of ANNs and their early structures -- The perceptron -- The madaline -- Back propagation -- Hopefield networks -- Counter propagation -- Adaptive resonance theory -- The cognitron and the neocognitron -- Statistical training -- Recurrent (time cycling) back propagation networks -- Large scale memory storage and retrieval (LAMSTAR) network.
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