Hybrid particle swarm optimization and black stork foraging for functional neural fuzzy network learning enhancement

Hybrid particle swarm optimization and black stork foraging for functional neural fuzzy network learning enhancement

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Main Author: A. Ahmed, Zakria
Format: Thesis
Published: 2012
Subjects:
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id my-utm-ep.31335
record_format uketd_dc
spelling my-utm-ep.313352013-05-07T03:14:57Z Hybrid particle swarm optimization and black stork foraging for functional neural fuzzy network learning enhancement 2012-00 A. Ahmed, Zakria Unspecified 2012-00 Thesis http://eprints.utm.my/id/eprint/31335/ masters Universiti Teknologi Malaysia, Faculty of Civil Engineering Faculty of Civil Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic Unspecified
spellingShingle Unspecified
A. Ahmed, Zakria
Hybrid particle swarm optimization and black stork foraging for functional neural fuzzy network learning enhancement
description
format Thesis
qualification_level Master's degree
author A. Ahmed, Zakria
author_facet A. Ahmed, Zakria
author_sort A. Ahmed, Zakria
title Hybrid particle swarm optimization and black stork foraging for functional neural fuzzy network learning enhancement
title_short Hybrid particle swarm optimization and black stork foraging for functional neural fuzzy network learning enhancement
title_full Hybrid particle swarm optimization and black stork foraging for functional neural fuzzy network learning enhancement
title_fullStr Hybrid particle swarm optimization and black stork foraging for functional neural fuzzy network learning enhancement
title_full_unstemmed Hybrid particle swarm optimization and black stork foraging for functional neural fuzzy network learning enhancement
title_sort hybrid particle swarm optimization and black stork foraging for functional neural fuzzy network learning enhancement
granting_institution Universiti Teknologi Malaysia, Faculty of Civil Engineering
granting_department Faculty of Civil Engineering
publishDate 2012
_version_ 1747815779109175296

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