Information Theoretic Neural Computation

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In order to develop new types of information media and technology, it is essential to model complex and flexible information processing in living systems. This book presents a new approach to modeling complex information processing in living systems…

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    Om Information Theoretic Neural Computation

    In order to develop new types of information media and technology, it is essential to model complex and flexible information processing in living systems. This book presents a new approach to modeling complex information processing in living systems. Traditional information-theoretic methods in neural networks are unified in one framework, i.e. α-entropy. This new approach will enable information systems such as computers to imitate and simulate human complex behavior and to uncover the deepest secrets of the human mind.Contents: Information in Neural NetworksInformation MinimizationInformation MaximizationConstrained Information MaximizationNeural Feature DetectorsInformation Maximization and MinimizationInformation ControllerInformation Control by α- EntropyIntegrated Information Processing SystemsReadership: Students and researchers in artificial intelligence and neural networks. Key Features:Provides reference material for a wide range of theoretical and applied scientists, and students interested in scaling phenomenaIncludes an updated and extended review of the author's work, as well as other related articles in the field

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    Detaljer

    Format
    E-Bok
    Filformat
    PDF
    Utgivelsesår
    2002
    Forlag
    World Scientific Publishing Co
    Språk
    Engelsk
    ISBN
    9789812778598
    Sider
    220

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