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Learning Automata and Stochastic Optimization
Pozniak, A.S.; Najim, Kaddour
€ 66.28
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Description for Learning Automata and Stochastic Optimization
Paperback. Featuring new and efficient learning techniques for stochastic optimization, and with examples illustrating the practical application of these techniques, this volume should be useful for practising engineers and graduate students taking courses in optimization, control theory or statistics. Series: Lecture Notes in Control and Information Sciences. Num Pages: 219 pages, 6 black & white illustrations, biography. BIC Classification: PBU; PBWL; TJFM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 12. Weight in Grams: 350.
In the last decade there has been a steadily growing need for and interest in computational methods for solving stochastic optimization problems with or wihout constraints. Optimization techniques have been gaining greater acceptance in many industrial applications, and learning systems have made a significant impact on engineering problems in many areas, including modelling, control, optimization, pattern recognition, signal processing and diagnosis. Learning automata have an advantage over other methods in being applicable across a wide range of functions. Featuring new and efficient learning techniques for stochastic optimization, and with examples illustrating the practical application of these techniques, this volume will ... Read more
In the last decade there has been a steadily growing need for and interest in computational methods for solving stochastic optimization problems with or wihout constraints. Optimization techniques have been gaining greater acceptance in many industrial applications, and learning systems have made a significant impact on engineering problems in many areas, including modelling, control, optimization, pattern recognition, signal processing and diagnosis. Learning automata have an advantage over other methods in being applicable across a wide range of functions. Featuring new and efficient learning techniques for stochastic optimization, and with examples illustrating the practical application of these techniques, this volume will ... Read more
Product Details
Format
Paperback
Publication date
1997
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
219
Condition
New
Series
Lecture Notes in Control and Information Sciences
Number of Pages
207
Place of Publication
Berlin, Germany
ISBN
9783540761549
SKU
V9783540761549
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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