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Sanchez, Edgar N.; Alanis, Alma Y.; Loukianov, Alexander G. - Discrete-Time High Order Neural Control - 9783642096952 - V9783642096952
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Discrete-Time High Order Neural Control

€ 119.48
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Description for Discrete-Time High Order Neural Control Paperback. Series: Studies in Computational Intelligence. Num Pages: 120 pages, 4 black & white tables, biography. BIC Classification: TJF. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 6. Weight in Grams: 195.
Neural networks have become a well-established methodology as exempli?ed by their applications to identi?cation and control of general nonlinear and complex systems; the use of high order neural networks for modeling and learning has recently increased. Usingneuralnetworks,controlalgorithmscanbedevelopedtoberobustto uncertainties and modeling errors. The most used NN structures are Feedf- ward networks and Recurrent networks. The latter type o?ers a better suited tool to model and control of nonlinear systems. There exist di?erent training algorithms for neural networks, which, h- ever, normally encounter some technical problems such as local minima, slow learning, and high sensitivity to initial conditions, among others. As a ... Read more

Product Details

Format
Paperback
Publication date
2010
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
120
Condition
New
Series
Studies in Computational Intelligence
Number of Pages
110
Place of Publication
Berlin, Germany
ISBN
9783642096952
SKU
V9783642096952
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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