Hopfield neural network computation as an alternative solution for solving economic dispatch in power system

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Main Author: Amirruddin, Melaty
Format: Thesis
Published: 2010
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id my-utm-ep.26775
record_format uketd_dc
spelling my-utm-ep.267752017-07-06T06:20:04Z Hopfield neural network computation as an alternative solution for solving economic dispatch in power system 2010 Amirruddin, Melaty TK Electrical engineering. Electronics Nuclear engineering 2010 Thesis http://eprints.utm.my/id/eprint/26775/ http://libraryopac.utm.my/client/en_AU/main/search/results?qu=Hopfield+neural+network+computation+as+an+alternative+solution+for+solving+economic+dispatch+in+power+system&te= masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Amirruddin, Melaty
Hopfield neural network computation as an alternative solution for solving economic dispatch in power system
description
format Thesis
qualification_level Master's degree
author Amirruddin, Melaty
author_facet Amirruddin, Melaty
author_sort Amirruddin, Melaty
title Hopfield neural network computation as an alternative solution for solving economic dispatch in power system
title_short Hopfield neural network computation as an alternative solution for solving economic dispatch in power system
title_full Hopfield neural network computation as an alternative solution for solving economic dispatch in power system
title_fullStr Hopfield neural network computation as an alternative solution for solving economic dispatch in power system
title_full_unstemmed Hopfield neural network computation as an alternative solution for solving economic dispatch in power system
title_sort hopfield neural network computation as an alternative solution for solving economic dispatch in power system
granting_institution Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department Faculty of Electrical Engineering
publishDate 2010
_version_ 1747815507860389888