Science/Engineering Feedforward Neural Network Methodology (0387987452)

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Jianqing Fan, Qiwei Yao “Feedforward Neural Network Methodology"

This 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.

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	Programming Neural Network Design Neural Network DesignMartin Hagan (January 2002) \| English \| ISBN: 0971732108 \| PDF \| 734 Pages \| 10 MBI knew the very poor Matlab Neural Network Toolbox User's Guide by the same authors and I was kind of expecting the same, and boy was I w ...
	Neural Network Design (Electrical Engineering) Martin T. Hagan, Howard B. Demuth, Mark H. Beale, "Neural Network Design (Electrical Engineering)" PWS Pub. Co. \| 1995-12-29 \| ISBN: 0534943322 \| 736 pages \| PDF \| 10.2 MBDownload: 10.2 MB, PDFuploaded.toORuploading.comOReasy-share.comORrap ...
	Science/Engineering Neural Network Principles Neural Network PrinciplesBy Robert L. HarveyPublisher: Prentice Hall \| 197 Pages \| 1994 \| ISBN: 0130633305 \| PDF \| 5.4 MbDescriptionUsing models of biological systems as springboards to a broad range of applications, this volume presents t ...
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