Book announcement--Kecman: Learning and Soft Computing

From: Jud Wolfskill (wolfskil@mit.edu)
Date: Wed Jul 25 2001 - 11:13:36 MET DST

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    I thought readers of the Fuzzy Mail List might be interested in this book.
    For more information please visit
    http://mitpress.mit.edu/promotions/books/KECLHS01

    Best,
    Jud

    Learning and Soft Computing
    Support Vector Machines, Neural Networks, and Fuzzy Logic Models
    Vojislav Kecman

    This textbook provides a thorough introduction to the field of learning
    from experimental data and soft computing. Support vector machines (SVM)
    and neural networks (NN) are the mathematical structures, or models, that
    underlie learning, while fuzzy logic systems (FLS) enable us to embed
    structured human knowledge into workable algorithms. The book assumes that
    it is not only useful, but necessary, to treat SVM, NN, and FLS as parts of
    a connected whole. Throughout, the theory and algorithms are illustrated by
    practical examples, as well as by problem sets and simulated experiments.
    This approach enables the reader to develop SVM, NN, and FLS in addition to
    understanding them. The book also presents three case studies: on NN-based
    control, financial time series analysis, and computer graphics. A solutions
    manual and all of the MATLAB programs needed for the simulated experiments
    are available.

    Vojislav Kecman is in the Department of Mechanical Engineering, University
    of Auckland.

    7 x 9, 608 pp., 268 illus., cloth ISBN 0-262-11255-8

    Complex Adaptive Systems series
    A Bradford Book
    --------------------------------------------------------------------------------
    Jud Wolfskill 617.253.2079 phone
    Associate Publicist 617.253.1709 fax
    MIT Press wolfskil@mit.edu
    5 Cambridge Center http://mitpress.mit.edu
    Fourth Floor
    Cambridge, MA 02142

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