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Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks
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Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks

really liked it 4.00  ·  Rating Details  ·  7 Ratings  ·  0 Reviews
Artificial neural networks are nonlinear mapping systems whose structure is loosely based on principles observed in the nervous systems of humans and animals. The basic idea is that massive systems of simple units linked together in appropriate ways can generate many complex and interesting behaviors. This book focuses on the subset of feedforward artificial neural network ...more
Hardcover, 352 pages
Published February 17th 1999 by MIT Press (MA)
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