INFORMATION THEORETIC NEURAL COMPUTATION

INFORMATION THEORETIC NEURAL COMPUTATION

Autor: Kamimura Ryotaro
Wydawca: World Scientific Publishing Company
Data publikacji: 2002
ISBN: 9789810240752

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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. 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.

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