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Feedforward Neural Network Methodology : Information Science and Statistics - Terrence L. Fine

Feedforward Neural Network Methodology

Information Science and Statistics

Hardcover Published: 11th June 1999
ISBN: 9780387987453
Number Of Pages: 340

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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.

From the reviews:


"...Fine must be congratulated for a coherent presentation of carefully selected material. Given the diversity of the field, this represented a serious challenge. Again, Feeforward Neural Network Methodlogy is an excellent reference for whoever wants to be brought to the frontier of research. I enthusiastically recommend it."

Background and Organization
Perceptrons - Networks with a Single Node
Feedforward Networks I: Generalities and LTU Nodes
Feedforward Networks II: Real-valued Nodes
Algorithms for Designing Feedforward Networks
Architecture Selection and Penalty Terms
Generalization and Learning
Table of Contents provided by Publisher. All Rights Reserved.

ISBN: 9780387987453
ISBN-10: 0387987452
Series: Information Science and Statistics
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 340
Published: 11th June 1999
Publisher: Springer-Verlag New York Inc.
Country of Publication: US
Dimensions (cm): 23.5 x 15.5  x 2.54
Weight (kg): 0.73