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    Principles of artificial neural networks / Daniel Graupe.

    By: Graupe, DanielMaterial type: TextTextSeries: 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
    Contents:
    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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    Item type Current library Call number Copy number Status Notes Date due Barcode
    Books Books Main Library
    		QA76.87 G77 2007 (Browse shelf (Opens below)) 1 Available STACKS 51952000058908

    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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