Feedforward Neural Network Methodology
Journal of the American Statistical AssociationPublished 1 June 2000
Emmanuel J. Candès, Terrence L. Fine
Citations298
SJR quartileQ1
SJR score4.10
SNIP3.08
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Abstract
From the Publisher: This monograph provides a through 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.
Keywords
Computer Science
Choice Reviews OnlineNeural networks for pattern recognition
18,687 Citations1994
This is the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition, and is designed as a text, with over 100 exercises, to benefit anyone involved in the fields of neural computation and pattern recognition.