Study of particle swarm optimization fitness functions for multilayer perceptron network in classification problems

Study of particle swarm optimization fitness functions for multilayer perceptron network in classification problems

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Bibliographic Details
Main Author: Jong, Chin Hua
Format: Thesis
Published: 2009
Subjects:
QA75 Electronic computers
Computer science
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id my-utm-ep.18572
record_format uketd_dc
spelling my-utm-ep.185722011-11-18T04:35:27Z Study of particle swarm optimization fitness functions for multilayer perceptron network in classification problems 2009-00 Jong, Chin Hua QA75 Electronic computers. Computer science 2009-00 Thesis http://eprints.utm.my/id/eprint/18572/ 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
Jong, Chin Hua
Study of particle swarm optimization fitness functions for multilayer perceptron network in classification problems
description
format Thesis
qualification_level Master's degree
author Jong, Chin Hua
author_facet Jong, Chin Hua
author_sort Jong, Chin Hua
title Study of particle swarm optimization fitness functions for multilayer perceptron network in classification problems
title_short Study of particle swarm optimization fitness functions for multilayer perceptron network in classification problems
title_full Study of particle swarm optimization fitness functions for multilayer perceptron network in classification problems
title_fullStr Study of particle swarm optimization fitness functions for multilayer perceptron network in classification problems
title_full_unstemmed Study of particle swarm optimization fitness functions for multilayer perceptron network in classification problems
title_sort study of particle swarm optimization fitness functions for multilayer perceptron network in classification problems
granting_institution Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department Faculty of Computer Science and Information System
publishDate 2009
_version_ 1747815307899043840

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