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    Neural Networks for Pattern Recognition

     
    Neural Networks for Pattern Recognition

    Description

    This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts, the book examines techniques for modeling probability density functions and the properties and merits of the multi-layer perceptron and radial basis function network models. Also covered are various forms of error functions, principal algorithms for error function minimalization, learning and generalization in neural networks, and Bayesian techniques and their applications. Designed as a text, with over 100 exercises, this fully up-to-date work will benefit anyone involved in the fields of neural computation and pattern recognition.

    Product details

    EAN/ISBN:
    9780198538646
    Medium:
    Paperback
    Number of pages:
    502
    Publication date:
    1996-01-18
    Publisher:
    Oxford University Press, USA
    Languages:
    english
    Manufacturer:
    Unknown
    EAN/ISBN:
    9780198538646
    Medium:
    Paperback
    Number of pages:
    502
    Publication date:
    1996-01-18
    Publisher:
    Oxford University Press, USA
    Languages:
    english
    Manufacturer:
    Unknown

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