Information-Theoretic Aspects of Neural Networks

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  • Engels
  • Hardcover
  • 9780849331985
  • 30 maart 1999
  • 416 pagina's
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Samenvatting

Intended for engineers and computer scientists working in the field of artificial neural networks, this book presents insight as well as different perspectives on information-processing as it relates to real and artificial networks. It provides alternative strategies for designing and understanding complex neural networks.



Information theoretics vis-a-vis neural networks generally embodies parametric entities and conceptual bases pertinent to memory considerations and information storage, information-theoretic based cost-functions, and neurocybernetics and self-organization. Existing studies only sparsely cover the entropy and/or cybernetic aspects of neural information.
Information-Theoretic Aspects of Neural Networks cohesively explores this burgeoning discipline, covering topics such as:

  • Shannon information and information dynamics
  • neural complexity as an information processing system
  • memory and information storage in the interconnected neural web
  • extremum (maximum and minimum) information entropy
  • neural network training
  • non-conventional, statistical distance-measures for neural network optimizations
  • symmetric and asymmetric characteristics of information-theoretic error-metrics
  • algorithmic complexity based representation of neural information-theoretic parameters
  • genetic algorithms versus neural information
  • dynamics of neurocybernetics viewed in the information-theoretic plane
  • nonlinear, information-theoretic transfer function of the neural cellular units
  • statistical mechanics, neural networks, and information theory
  • semiotic framework of neural information processing and neural information flow
  • fuzzy information and neural networks
  • neural dynamics conceived through fuzzy information parameters
  • neural information flow dynamics
  • informatics of neural stochastic resonance
    Information-Theoretic Aspects of Neural Networks acts as an exceptional resource for engineers, scientists, and computer scientists working in the field of artificial neural networks as well as biologists applying the concepts of communication theory and protocols to the functioning of the brain. The information in this book explores new avenues in the field and creates a common platform for analyzing the neural complex as well as artificial neural networks.
  • Productspecificaties

    Inhoud

    Taal
    en
    Bindwijze
    Hardcover
    Oorspronkelijke releasedatum
    30 maart 1999
    Aantal pagina's
    416
    Illustraties
    Nee

    Betrokkenen

    Hoofdauteur
    P. S. Neelakanta
    Tweede Auteur
    P. S. Neelankanta
    Hoofdredacteur
    Perambur S. Neelakanta
    Hoofduitgeverij
    CRC Press Inc

    Overige kenmerken

    Extra groot lettertype
    Nee
    Product breedte
    156 mm
    Product lengte
    234 mm
    Studieboek
    Nee
    Verpakking breedte
    156 mm
    Verpakking hoogte
    234 mm
    Verpakking lengte
    234 mm
    Verpakkingsgewicht
    743 g

    EAN

    EAN
    9780849331985
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