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Introduction To The Theory Of Neural Computation, Volume I: 0001 (Santa Fe Institute Studies in the Sciences of Complexity) - Softcover
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
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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
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Introduction to the Theory of Neural Computation
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Introduction To The Theory Of Neural Computation
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Introduction to the Theory of Neural Computation (Volume 1)
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Introduction To The Theory Of Neural Computation (Santa Fe Institute Series)
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