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

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Harouni, Majid
التنسيق: أطروحة
منشور في: 2009
الموضوعات:
الوسوم: إضافة وسم
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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