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Fundamentals Of Artificial Neural Networks 22.0%OFF

Fundamentals Of Artificial Neural Networks

by Hassoun H Mohamad

  • ISBN

    :  

    9788120313569

  • Publisher

    :  

    Phi Learning

  • Subject

    :  

    Computer Science

  • Binding

    :  

    Paperback

  • Pages

    :  

    540

  • Year

    :  

    2010

₹

595.0

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464.0

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  • Description

    As book review editor of the IEEE Transactions on Neural Networks, Mohamad Hassoun has had the opportunity to assess the multitude of books on artificial neural networks that have appeared in recent years. Now, in Fundamentals of Artificial Neural Networks, he provides the first systematic account of artificial neural network paradigms by identifying clearly the fundamental concepts and major methodologies underlying most of the current theory and practice employed by neural network researchers. This text emphasizes fundamental theoretical aspects of the computational capabilities and learning abilities of artificial neural networks. Table Of Contents Preface. Acknowledgments. Abbreviations. Symbols. Threshold Gates. Computational Capabilities of Artificial Neural Networks. Learning Rules. Mathematical Theory of Neural Learning. Adaptive Multilayer Neural Networks. Adaptive Multilayer Neural Networks. Associative Neural Memories. Clobal Search Methods for Neural Networks. References. Index.

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