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OverviewSoft computing is a unifying framework that combines techniques in neural networks, fuzzy theory, genetic algorithms, and artificial intelligence to develop intelligent systems able to learn in dynamic, imprecise and uncertain environments. Australian editor. Full Product DetailsAuthor: Z.Q. Liu (The University of Melbourne, Carlton, Australia) , S. Miyamoto (University of Tsukuba, Ibaraki, Japan)Publisher: Springer Verlag, Japan Imprint: Springer Verlag, Japan Weight: 0.660kg ISBN: 9784431702795ISBN 10: 4431702792 Pages: 345 Publication Date: 01 May 2000 Audience: College/higher education , Professional and scholarly , Tertiary & Higher Education , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Out of stock ![]() The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. Table of ContentsIntroduction; multisets and fuzzy multisets; model logic, rough sets, and fuzzy sets; fuzzy cognitive maps - analysis and extensions; methods in hard and fuzzy clustering; soft-competitive learning paradigms; aggregation operations for fusing fuzzy information; fuzzy gated neural networks in pattern recognition; soft computing technique in kansei (emotional) information processing; vagueness in human judgment and decision making; chaos and time series analysis; a short course for fuzzy set theory.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |