Real-time persian handwritten character recognition using back propagation with multilayer perceptron neural network

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Bibliographic Details
Main Author:	Harouni, Majid
Format:	Thesis
Published:	2009
Subjects:	QA75 Electronic computers Computer science
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id	my-utm-ep.18504
record_format	uketd_dc
spelling	my-utm-ep.185042011-11-18T04:34:51Z Real-time persian handwritten character recognition using back propagation with multilayer perceptron neural network 2009-00 Harouni, Majid QA75 Electronic computers. Computer science 2009-00 Thesis http://eprints.utm.my/id/eprint/18504/ masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Harouni, Majid Real-time persian handwritten character recognition using back propagation with multilayer perceptron neural network
description
format	Thesis
qualification_level	Master's degree
author	Harouni, Majid
author_facet	Harouni, Majid
author_sort	Harouni, Majid
title	Real-time persian handwritten character recognition using back propagation with multilayer perceptron neural network
title_short	Real-time persian handwritten character recognition using back propagation with multilayer perceptron neural network
title_full	Real-time persian handwritten character recognition using back propagation with multilayer perceptron neural network
title_fullStr	Real-time persian handwritten character recognition using back propagation with multilayer perceptron neural network
title_full_unstemmed	Real-time persian handwritten character recognition using back propagation with multilayer perceptron neural network
title_sort	real-time persian handwritten character recognition using back propagation with multilayer perceptron neural network
granting_institution	Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department	Faculty of Computer Science and Information System
publishDate	2009
_version_	1747815290926792704

Real-time persian handwritten character recognition using back propagation with multilayer perceptron neural network

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