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Fuzzy multi-layer perceptron for binary pattern recognition

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)

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/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
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: Faculties > Sciences > School of Engineering and Digital Arts
Depositing User: M. Nasiriavanaki
Date Deposited: 29 Jun 2009 07:39 UTC
Last Modified: 26 Jul 2019 13:46 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/17183 (The current URI for this page, for reference purposes)
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