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EBSCO_ocn794370070 |
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030407s2002 si a ob 001 0 eng |
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|a 1086539634
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|a 9789812778598
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|a Kamimura, Ryotaro.
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|a Information theoretic neural computation /
|c Ryotaro Kamimura.
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|a Singapore ;
|a River Edge, N.J. :
|b World Scientific,
|c ©2002.
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|a 1 online resource
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|a Includes bibliographical references (pages 197-203).
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|a 1. Introduction -- 2. Information in Neural Networks -- 3. Information Minimization -- 4. Information Maximization -- 5. Constrained Information Maximization -- 6. Neural Feature Detectors -- 7. Information Maximization and Minimization -- 8. Information Controller -- 9. Information Control by [alpha]-Entropy -- 10. Integrated Information Processing Systems -- App. A. Data Description -- App. B. Sonority.
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|a 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. a-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.
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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|a Automatic speech recognition.
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650 |
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|a Entropy (Information theory)
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|a Neural computers.
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|a Neural networks (Computer science)
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|a Reconnaissance automatique de la parole.
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|a Entropie (Théorie de l'information)
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|a Ordinateurs neuronaux.
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|a Réseaux neuronaux (Informatique)
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|a COMPUTERS
|x Neural Networks.
|2 bisacsh
|
650 |
|
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|a Automatic speech recognition
|2 fast
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650 |
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|a Entropy (Information theory)
|2 fast
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|a Neural computers
|2 fast
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650 |
|
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|a Neural networks (Computer science)
|2 fast
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|a Askews and Holts Library Services
|b ASKH
|n AH24684827
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|a ProQuest Ebook Central
|b EBLB
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