Comparative study of classification tissue in medical imaging using radial basis function (RBF) and backpropagation (BP) network

Comparative study of classification tissue in medical imaging using radial basis function (RBF) and backpropagation (BP) network

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Bibliographic Details
Main Author: Zainudin, Muhammad Noorazlan Shah
Format: Thesis
Published: 2009
Subjects:
QA75 Electronic computers
Computer science
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id my-utm-ep.18199
record_format uketd_dc
spelling my-utm-ep.181992011-11-18T04:32:09Z Comparative study of classification tissue in medical imaging using radial basis function (RBF) and backpropagation (BP) network 2009-00 Zainudin, Muhammad Noorazlan Shah QA75 Electronic computers. Computer science 2009-00 Thesis http://eprints.utm.my/id/eprint/18199/ 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
Zainudin, Muhammad Noorazlan Shah
Comparative study of classification tissue in medical imaging using radial basis function (RBF) and backpropagation (BP) network
description
format Thesis
qualification_level Master's degree
author Zainudin, Muhammad Noorazlan Shah
author_facet Zainudin, Muhammad Noorazlan Shah
author_sort Zainudin, Muhammad Noorazlan Shah
title Comparative study of classification tissue in medical imaging using radial basis function (RBF) and backpropagation (BP) network
title_short Comparative study of classification tissue in medical imaging using radial basis function (RBF) and backpropagation (BP) network
title_full Comparative study of classification tissue in medical imaging using radial basis function (RBF) and backpropagation (BP) network
title_fullStr Comparative study of classification tissue in medical imaging using radial basis function (RBF) and backpropagation (BP) network
title_full_unstemmed Comparative study of classification tissue in medical imaging using radial basis function (RBF) and backpropagation (BP) network
title_sort comparative study of classification tissue in medical imaging using radial basis function (rbf) and backpropagation (bp) 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_ 1747815216850141184

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