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) (KAR id:20161)
| 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. | |
| 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) |
| Institutional Unit: | Schools > School of Engineering, Mathematics and Physics > Engineering |
| Former Institutional Unit: |
Divisions > Division of Natural Sciences > School of Engineering and Digital Arts Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
|
| Depositing User: | P. Ogbuji |
| Date Deposited: | 30 Jun 2009 18:39 UTC |
| Last Modified: | 20 May 2025 10:34 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/20161 (The current URI for this page, for reference purposes) |
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