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OverviewThis monograph provides a thorough and coherent introduction to the mathematical properties of feedforward neural networks, and to the computationally intensive methodology, that has enabled their highly successful application to complex problems of pattern classification, forecasting, regression, and nonlinear systems modeling. The reader is provided with the information needed to make practical use of the powerful modeling and design tool of feedforward neural networks, as well as presented with the background needed to make contributions to several research frontiers. This work is therefore of interest to those in electrical engineering, operations research, computer science, and statistics who would like to use nonlinear modeling of stochastic phenomena to treat problems of pattern classification, forecasting, signal processing, machine intelligence, and nonlinear regression. T.L. Fine is professor of Electrical Engineering at Cornell University. Full Product DetailsAuthor: Terrence L FinePublisher: Springer Imprint: Springer ISBN: 9781280010590ISBN 10: 1280010592 Pages: 340 Publication Date: 01 January 1999 Audience: General/trade , General Format: Undefined Publisher's Status: Active Availability: In stock We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |