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.
General
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