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
Link To Document :
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