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Comparison between fast EP-ANN and classical EP-ANN for lightning prediction: article / Azizi Ahmad Masduki

One of the methods for lightning prediction is by using an Artificial Neural Network (ANN) prediction system for lightning occurrence based on historical lightning and meteorological data from Malaysian Environment. Using this method has a few problems about to finding suitable network architectures...

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主要作者: Ahmad Masduki, Azizi
格式: Article
语言:English
出版: Universiti Teknologi MARA (UiTM) 2011
在线阅读:https://ir.uitm.edu.my/id/eprint/97467/1/97467.PDF
https://ir.uitm.edu.my/id/eprint/97467/
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spelling my.uitm.ir.974672024-06-25T08:57:51Z https://ir.uitm.edu.my/id/eprint/97467/ Comparison between fast EP-ANN and classical EP-ANN for lightning prediction: article / Azizi Ahmad Masduki Ahmad Masduki, Azizi One of the methods for lightning prediction is by using an Artificial Neural Network (ANN) prediction system for lightning occurrence based on historical lightning and meteorological data from Malaysian Environment. Using this method has a few problems about to finding suitable network architectures. This paper presents the improvement of method ANN with Evolutionary Programming (EP) as an optimization technique. This optimization technique will optimize to find ANN architectures systematically with less computation time. The mutations operators in EP discuss in this paper are Fast EP which apply Cauchy mutation and classical-EP which apply Gaussian mutation and the comparison for both of its. The best value sets of input data taken whether by using a Cauchy or Gaussian mutations and both operators will be compare to decide which the most suitable operators for lightning prediction is. As the result, the most suitable technique will create the best ANN architectures. Universiti Teknologi MARA (UiTM) 2011 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/97467/1/97467.PDF Comparison between fast EP-ANN and classical EP-ANN for lightning prediction: article / Azizi Ahmad Masduki. (2011) pp. 1-5.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
description One of the methods for lightning prediction is by using an Artificial Neural Network (ANN) prediction system for lightning occurrence based on historical lightning and meteorological data from Malaysian Environment. Using this method has a few problems about to finding suitable network architectures. This paper presents the improvement of method ANN with Evolutionary Programming (EP) as an optimization technique. This optimization technique will optimize to find ANN architectures systematically with less computation time. The mutations operators in EP discuss in this paper are Fast EP which apply Cauchy mutation and classical-EP which apply Gaussian mutation and the comparison for both of its. The best value sets of input data taken whether by using a Cauchy or Gaussian mutations and both operators will be compare to decide which the most suitable operators for lightning prediction is. As the result, the most suitable technique will create the best ANN architectures.
format Article
author Ahmad Masduki, Azizi
spellingShingle Ahmad Masduki, Azizi
Comparison between fast EP-ANN and classical EP-ANN for lightning prediction: article / Azizi Ahmad Masduki
author_facet Ahmad Masduki, Azizi
author_sort Ahmad Masduki, Azizi
title Comparison between fast EP-ANN and classical EP-ANN for lightning prediction: article / Azizi Ahmad Masduki
title_short Comparison between fast EP-ANN and classical EP-ANN for lightning prediction: article / Azizi Ahmad Masduki
title_full Comparison between fast EP-ANN and classical EP-ANN for lightning prediction: article / Azizi Ahmad Masduki
title_fullStr Comparison between fast EP-ANN and classical EP-ANN for lightning prediction: article / Azizi Ahmad Masduki
title_full_unstemmed Comparison between fast EP-ANN and classical EP-ANN for lightning prediction: article / Azizi Ahmad Masduki
title_sort comparison between fast ep-ann and classical ep-ann for lightning prediction: article / azizi ahmad masduki
publisher Universiti Teknologi MARA (UiTM)
publishDate 2011
url https://ir.uitm.edu.my/id/eprint/97467/1/97467.PDF
https://ir.uitm.edu.my/id/eprint/97467/
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score 13.251813

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