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Introduction To The Theory Of Neural Computation (Santa Fe Institute Series) - Softcover
Book 6 of 14: Santa Fe Institute Studies in the Sciences of Complexity
Synopsis
Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides coverage of neural network applications in a variety of problems of both theoretical and practical interest.
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About the Author
John A Hertz
From the Back Cover
This book is a comprehensive introduction to the neural network models currently under intensive study for computational applications. It is a detailed, logically-developed treatment that covers the theory and uses of collective computational networks, including associative memory, feed forward networks, and unsupervised learning. It also provides coverage of neural network applications in a variety of problems of both theoretical and practical interest.
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Introduction To The Theory Of Neural Computation (Santa Fe Institute Series)
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Introduction To The Theory Of Neural Computation (Santa Fe Institute Series)
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Introduction To The Theory Of Neural Computation (Santa Fe Institute Series)
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Introduction to the Theory of Neural Computation
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Introduction To The Theory Of Neural Computation (Santa Fe Institute Series)
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Introduction To The Theory Of Neural Computation, Volume I: 0001 (Santa Fe Institute Studies in the Sciences of Complexity)
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Introduction To The Theory Of Neural Computation, Volume I: 0001 (Santa Fe Institute Studies in the Sciences of Complexity)
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Introduction to the Theory of Neural Computation
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Introduction To The Theory Of Neural Computation (Lecture Notes Volume 1)
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Addison-Wesley, Redwood City, CA, 1991
ISBN 10: 0201515601
ISBN 13: 9780201515602
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