Canuto, Anne and Howells, Gareth and Fairhurst, Michael (1999) Fuzzy multi-layer perceptron for binary pattern recognition. In: Seventh International Conference on Image Processing And Its Applications, 1999. Conference Publications, 1 . IEEE, pp. 260-264. ISBN 0-85296-717-9. (doi:10.1049/cp:19990323) (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:17183)
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/cp:19990323 |
Abstract
This paper presents a modified fuzzy Multilayer Perceptron model which uses, as a basis, the implementation developed in (Pal and Mitra, (9)). The proposed model uses different parameters in the calculation of a fuzzy desired output vector to (Pal and Mitra (9)) as well as adding an ambiguity parameter to the updating equation in order to take into account the degree of ambiguity of an input pattern during the learning phase.
Item Type: | Book section |
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DOI/Identification number: | 10.1049/cp:19990323 |
Uncontrolled keywords: | fuzzy multi-layer perceptron; binary pattern recognition; fuzzy desired output vector; ambiguity parameter; updating equation; input pattern; learning phase; handwritten character recognition |
Subjects: |
T Technology > TK Electrical engineering. Electronics. Nuclear engineering Q Science > QA Mathematics (inc Computing science) |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | M. Nasiriavanaki |
Date Deposited: | 29 Jun 2009 07:39 UTC |
Last Modified: | 05 Nov 2024 09:52 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/17183 (The current URI for this page, for reference purposes) |
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