Articles liés à Information Theoretic Aspects of Neural Networks

Information Theoretic Aspects of Neural Networks - Couverture rigide

Neelankanta, P. S.

 
9780849331985: Information Theoretic Aspects of Neural Networks
Couverture rigide
ISBN 10 : 0849331986 ISBN 13 : 9780849331985
Editeur : CRC Press Inc, 1999

Synopsis

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.

    • Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

    À propos de l'auteur

    P. S. Neelakanta

    À propos de la quatrième de couverture

    Information-Theoretic Aspects of Neural Networks is an exceptional resource for engineers 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. It presents focused insight as well as new perspectives on information-processing as it relates to real and artificial networks. Filled with tables and figures, it provides alternative strategies for designing and understanding complex neural networks, introduces new cost-functions, and explores new avenues in the field. The author also includes exhaustive references, some presented here for the first time.

    Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

    Éditeur
    CRC Press Inc
    Date d'édition
    1999
    Langue
    anglais
    ISBN 10 
    0849331986
    ISBN 13 
    9780849331985
    Reliure
    Relié
    Nombre de pages
    402
    Éditeur
    Neelakanta Perambur S.
    Coordonnées du fabricant
    non disponible
    Personne responsable
    gpsr@libri.de
    gpsr@libri.de

    Europaallee 1
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