MIT Press, 2003, -1309 p. Like the first edition, which it replaces, this volume is inspired by two great questions: How does the brain work? and How can we build intelligent machines? As in the first edition, the heart of the book is a set of close to 300 articles in Part III which cover the whole spectrum of Brain Theory and Neural Networks. To help readers orient themselves...
Springer, 2013, -546 p. This handbook is inspired by two fundamental questions: Can intelligent learning machines be built? and Can they be applied to face problems otherwise unsolvable?. A simple unique answer certainly does not exist to the first question. Instead in the last three decades, the great amount of research in machine learning has succeeded in answering many...
CRC Press, 2002, -384 p. The field of artificial neural networks has made tremendous progress in the past 20 years in terms of theory, algorithms, and applications. Notably, the majority of real world neural network applications have involved the solution of difficult statistical signal processing problems. Compared to conventional signal processing algorithms that are mainly...
CRC Press, 2002, -384 p. The field of artificial neural networks has made tremendous progress in the past 20 years in terms of theory, algorithms, and applications. Notably, the majority of real world neural network applications have involved the solution of difficult statistical signal processing problems. Compared to conventional signal processing algorithms that are mainly...
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