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Feedforward Neural Network Methodology

Journal article

Feedforward Neural Network Methodology

Abstract

This research monograph was developed in lectures to intermediate-level engineering and statistics students. It admirably surveys the field of feedforward networks considering both theoretical and practical aspects. The books attempts to respond to four fundamental questions concerning computational capabilities of feedforward networks:

Authors

Chen K; Kvasnicka V; Kanen PC; Haykin S

Journal

IEEE Transactions on Neural Networks and Learning Systems, Vol. 12, No. 3, pp. 647–648

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

May 1, 2001

DOI

10.1109/tnn.2001.925573

ISSN

2162-237X

Associated Experts

Simon Haykin

Professor Emeritus, Faculty of Engineering

Labels

Fields of Research (FoR)

46 Information and Computing Sciences 4611 Machine Learning

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