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Progressive Learning Algorithm for GSN Feedforward Neural Architectures

de Carvalho, Andre C.P.L.F., Fairhurst, Michael, Bisset, D.L. (1994) Progressive Learning Algorithm for GSN Feedforward Neural Architectures. Electronics Letters, 30 (6). pp. 506-507. ISSN 0013-5194. (doi:10.1049/el:19940326) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
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
DOI/Identification number: 10.1049/el:19940326
Uncontrolled keywords: NEURAL NETWORKS; PATTERN RECOGNITION
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Depositing User: P. Ogbuji
Date Deposited: 30 Jun 2009 18:39 UTC
Last Modified: 28 May 2019 13:58 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/20161 (The current URI for this page, for reference purposes)
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