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Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition (Adaptation, Learning, and Optimization)

Serkan Kiranyaz, Turker Ince, Moncef Gabbouj




[PDF.xq26] Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition (Adaptation, Learning, and Optimization)

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 | #3972690 in Books |  2013-07-17 | Original language:English | PDF # 1 |  9.51 x.95 x6.25l,1.40 | File type: PDF | 321 pages

|| ||From the book reviews:|“This book has enough material to be used as a reference text in research in areas of biomedical signal processing, classification, and clustering. Alternatively, it can be employed as an extra textbook in a graduate course on opt

For many engineering problems we require optimization processes with dynamic adaptation as we aim to establish the dimension of the search space where the optimum solution resides and develop robust techniques to avoid the local optima usually associated with multimodal problems. This book explores multidimensional particle swarm optimization, a technique developed by the authors that addresses these requirements in a well-defined algorithmic approach.

 
You can specify the type of files you want, for your gadget.Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition (Adaptation, Learning, and Optimization)   |  Serkan Kiranyaz, Turker Ince, Moncef Gabbouj. Which are the reasons I like to read books. Great story by a great author.

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