Progressive Learning Algorithm for GSN Feedforward Neural Architectures

de Carvalho, Andre C.P.L.F. and Fairhurst, Michael and Bisset, D.L. (1994) Progressive Learning Algorithm for GSN Feedforward Neural Architectures. Electronics Letters, 30 (6). pp. 506-507. ISSN 0013-5194. (The full text of this publication is not available from this repository)

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Official URL
http://dx.doi.org/10.1049/el:19940326

Abstract

A new learning algorithm, the progressive learning algorithm, is proposed for use in a goal-seeking feedforward architecture, GSN(f). Experiments show that both improved recognition performance and significantly faster training times can be achieved with this learning algorithm.

Item Type: Article
Uncontrolled keywords: NEURAL NETWORKS; PATTERN RECOGNITION
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts
Depositing User: P. Ogbuji
Date Deposited: 30 Jun 2009 18:39
Last Modified: 01 Jul 2014 10:22
Resource URI: http://kar.kent.ac.uk/id/eprint/20161 (The current URI for this page, for reference purposes)
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