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OverviewThis work explains network dynamics, learning paradigms, and computational capabilities of feedforward, self-organization, and feedback neural network models-addressing specific problems such as data fusion and data modeling. It goes on to describe a neural network simulation software package - USTCNET and gives some segments of the program. Full Product DetailsAuthor: WuPublisher: Taylor & Francis Inc Imprint: Marcel Dekker Inc Volume: 87 Dimensions: Width: 21.00cm , Height: 2.60cm , Length: 28.00cm Weight: 0.762kg ISBN: 9780824791810ISBN 10: 0824791819 Pages: 456 Publication Date: 14 December 1993 Audience: College/higher education , Professional and scholarly , Undergraduate , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Out of Print Availability: Out of stock ![]() Table of ContentsGeneral concepts of pattern recognition; feedforward neural networks; feedforward neural networks for functional approximation; applications of feedforward neural networks; fuzzy neural networks; competitive learning and self-organization; adaptive self-organization; associative memory; optimization through neural networks.Reviews. . .very well written and organized. ---Neurocomputing . . .very well written and organized. ---Neurocomputing Author InformationTab Content 6Author Website:Countries AvailableAll regions |