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Thursday, August 7, 2008

Introduction to the Theory of Neural Computation


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
By John Hertz, Anders Krogh, Richard G. Palmer
Contributor Anders Krogh, Richard G. Palmer