Hybridization of imperialist competitive algorithm (ICA) and multi layer perception neural network (MLP) for software reliability prediction

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Main Author: Noekhah, Shirin
Format: Thesis
Published: 2012
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id my-utm-ep.31336
record_format uketd_dc
spelling my-utm-ep.313362013-05-07T03:14:57Z Hybridization of imperialist competitive algorithm (ICA) and multi layer perception neural network (MLP) for software reliability prediction 2012-00 Noekhah, Shirin Unspecified 2012-00 Thesis http://eprints.utm.my/id/eprint/31336/ masters Universiti Teknologi Malaysia, Faculty of Civil Engineering Faculty of Civil Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic Unspecified
spellingShingle Unspecified
Noekhah, Shirin
Hybridization of imperialist competitive algorithm (ICA) and multi layer perception neural network (MLP) for software reliability prediction
description
format Thesis
qualification_level Master's degree
author Noekhah, Shirin
author_facet Noekhah, Shirin
author_sort Noekhah, Shirin
title Hybridization of imperialist competitive algorithm (ICA) and multi layer perception neural network (MLP) for software reliability prediction
title_short Hybridization of imperialist competitive algorithm (ICA) and multi layer perception neural network (MLP) for software reliability prediction
title_full Hybridization of imperialist competitive algorithm (ICA) and multi layer perception neural network (MLP) for software reliability prediction
title_fullStr Hybridization of imperialist competitive algorithm (ICA) and multi layer perception neural network (MLP) for software reliability prediction
title_full_unstemmed Hybridization of imperialist competitive algorithm (ICA) and multi layer perception neural network (MLP) for software reliability prediction
title_sort hybridization of imperialist competitive algorithm (ica) and multi layer perception neural network (mlp) for software reliability prediction
granting_institution Universiti Teknologi Malaysia, Faculty of Civil Engineering
granting_department Faculty of Civil Engineering
publishDate 2012
_version_ 1747815779355590656