Neural Networks for Optimization and Signal Processing
Andrzej Cichocki
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Description for Neural Networks for Optimization and Signal Processing
Hardcover. A topical introduction on the ability of artificial neural networks to not only solve on-line a wide range of optimization problems but also to create new techniques and architectures. Provides in-depth coverage of mathematical modeling along with illustrative computer simulation results. Num Pages: 544 pages, Ill. BIC Classification: UYQN; UYS; UYT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 238 x 165 x 37. Weight in Grams: 952.
A topical introduction on the ability of artificial neural networks to not only solve on-line a wide range of optimization problems but also to create new techniques and architectures. Provides in-depth coverage of mathematical modeling along with illustrative computer simulation results.
A topical introduction on the ability of artificial neural networks to not only solve on-line a wide range of optimization problems but also to create new techniques and architectures. Provides in-depth coverage of mathematical modeling along with illustrative computer simulation results.
Product Details
Format
Hardback
Publication date
1993
Publisher
John Wiley and Sons Ltd United Kingdom
Number of pages
544
Condition
New
Number of Pages
544
Place of Publication
New York, United States
ISBN
9780471930105
SKU
V9780471930105
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Andrzej Cichocki
Andrzej Cichocki received the M.Sc. (with honors), Ph.D. and Dr.Sc. (Habilitation) degrees, all in electrical engineering, from Warsaw University of Technology in Poland. Since 1972, he has been with the Institute of Theory of Electrical Engineering, Measurement and Information Systems, Faculty of Electrical Engineering at the Warsaw University of Technology, where he obtain a title of a full ... Read more
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