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Information Processing with Evolutionary Algorithms

From Industrial Applications to Academic Speculations
BookPaperback
Ranking8443in
CHF193.00

Description

The lines that draw the boundaries among statistics, optimization, arti cial intelligence and information processing are disappearing, and it is not uncommon to nd well-founded and sophisticated mathematical approaches in application - mains traditionally associated with ad-hoc programming.
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Details

ISBN/GTIN978-1-84996-937-6
Product TypeBook
BindingPaperback
PublisherSpringer
Publishing date22/10/2010
EditionSoftcover reprint of hardcover 1st ed. 2005
Pages334 pages
LanguageEnglish
SizeWidth 155 mm, Height 235 mm
Weight539 g
IllustrationsXVIII, 334 p. 137 illus., schwarz-weiss Illustrationen
Article no.2302234
CatalogsBuchzentrum
Data source no.10770892
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Author

PAUL P. WANG, PhD, received his doctorate from The Ohio State University and is Professor of Electrical and Computer Engineering at the Pratt School of Engineering, Duke University in Durham, North Carolina. He has published extensively in the fields of mathematical systems modeling, fuzzy logic, pattern recognition, intelligent systems, and the applications of computational intelligence methodologies to the medical and management expert systems design. His work with Masaki Togai during the 1980s led to the fabrication of the first fuzzy logic chips. Dr. Wang has been a member of the board of directors of several corporations, including Intelligent Machine, Inc. He is also the founder and CEO of the Association for Intelligent Machinery.

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BZ
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UKSLC
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