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Optimization Techniques, Volume 2 (Neural Network Systems Techniques and Applications) (Pt. 2)

Cornelius T. Leondes




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 | #9793554 in Books |  Academic Press |  1997-11-14 | Original language:English | PDF # 1 |  9.02 x.94 x5.98l,1.74 | File type: PDF | 398 pages

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||1 of 1 people found the following review helpful.| A Reference Series for those who create & optimize NN's.|By A Customer|Neural networks have seen an explosion in interest and application in the last 10 to 15 years, when they evolved from research on artificial intelligence One can find books on diverse subjects such as finance, medicine, and any physical or theoretical science with significant sections devoted to the use of n|From the Back Cover||Inspired by the structure of the human brain, artificial neural networks have found many applications due to their ability to solve cumbersome or intractable problems by learning from data. Neural networks can adapt to new environments by le

Optimization Techniques is a unique reference source to a diverse array of methods for achieving optimization, and includes both systems structures and computational methods. The text devotes broad coverage toa unified view of optimal learning, orthogonal transformation techniques, sequential constructive techniques, fast back propagation algorithms, techniques for neural networks with nonstationary or dynamic outputs, applications to constraint satisfaction,optim...

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