DocumentCode
344132
Title
Fuzzy multi-layer perceptron for binary pattern recognition
Author
Canuto, A.M.P. ; Howells, W. G J ; Fairhurst, M.C.
Author_Institution
Kent Univ., Canterbury, UK
Volume
1
fYear
1999
fDate
36342
Firstpage
260
Abstract
This paper presents a modified fuzzy multilayer perceptron model which uses, as a basis, the implementation developed in Pal and Mitra (1992). The proposed model uses different parameters in the calculation of a fuzzy desired output vector to Pal and Mitra 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. Handwritten character recognition is discussed in particular
Keywords
fuzzy neural nets; ambiguity parameter; binary pattern recognition; fuzzy desired output vector; fuzzy multi-layer perceptron; handwritten character recognition; input pattern; learning phase; updating equation;
fLanguage
English
Publisher
iet
Conference_Titel
Image Processing And Its Applications, 1999. Seventh International Conference on (Conf. Publ. No. 465)
Conference_Location
Manchester
ISSN
0537-9989
Print_ISBN
0-85296-717-9
Type
conf
DOI
10.1049/cp:19990323
Filename
791392
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