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Lightning forecasting using ANN-BP & radiosonde

This paper presents a concept of predicting lightning with the data from radiosonde and a more reliable dataset of lightning occurances from Tenaga Nasionl Berhad Research Sdn Berhad (TNBR). The location of interest in this research is Kuala Lumpur International Airport (KLIA). The engine used for p...

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Main Authors:	Weng L.Y., Omar J.B., Siah Y.K., Ahmed S.K., Abidin I.B.Z., Abdullah N.
Other Authors:	26326032700
Format:	Conference paper
Published:	2023
Subjects:	Artificial intelligence Lightning forecasting Lightning prediction Neural networks Data processing Forecasting Information science Intelligent computing Radiosondes Data sets Kuala lumpur international airports Lightning
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id	my.uniten.dspace-30588
record_format	dspace
spelling	my.uniten.dspace-305882023-12-29T15:49:53Z Lightning forecasting using ANN-BP & radiosonde Weng L.Y. Omar J.B. Siah Y.K. Ahmed S.K. Abidin I.B.Z. Abdullah N. 26326032700 24463418200 24448864400 25926812900 35606640500 26422769600 Artificial intelligence Lightning forecasting Lightning prediction Neural networks Data processing Forecasting Information science Intelligent computing Neural networks Radiosondes Data sets Kuala lumpur international airports Lightning This paper presents a concept of predicting lightning with the data from radiosonde and a more reliable dataset of lightning occurances from Tenaga Nasionl Berhad Research Sdn Berhad (TNBR). The location of interest in this research is Kuala Lumpur International Airport (KLIA). The engine used for prediction is of a Neural Network Back Propogation type (ANN-BP). The initial results show that the combination of datasets and engine are workable, however the prediction results seem to be more biased towards lightning days as compared to non-lightning days. � 2010 IEEE. Final 2023-12-29T07:49:53Z 2023-12-29T07:49:53Z 2010 Conference paper 10.1109/ICICCI.2010.83 2-s2.0-77958489349 https://www.scopus.com/inward/record.uri?eid=2-s2.0-77958489349&doi=10.1109%2fICICCI.2010.83&partnerID=40&md5=eda7fdca81ad6d51264bc41634c740d9 https://irepository.uniten.edu.my/handle/123456789/30588 5566013 152 155 Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	Artificial intelligence Lightning forecasting Lightning prediction Neural networks Data processing Forecasting Information science Intelligent computing Neural networks Radiosondes Data sets Kuala lumpur international airports Lightning
spellingShingle	Artificial intelligence Lightning forecasting Lightning prediction Neural networks Data processing Forecasting Information science Intelligent computing Neural networks Radiosondes Data sets Kuala lumpur international airports Lightning Weng L.Y. Omar J.B. Siah Y.K. Ahmed S.K. Abidin I.B.Z. Abdullah N. Lightning forecasting using ANN-BP & radiosonde
description	This paper presents a concept of predicting lightning with the data from radiosonde and a more reliable dataset of lightning occurances from Tenaga Nasionl Berhad Research Sdn Berhad (TNBR). The location of interest in this research is Kuala Lumpur International Airport (KLIA). The engine used for prediction is of a Neural Network Back Propogation type (ANN-BP). The initial results show that the combination of datasets and engine are workable, however the prediction results seem to be more biased towards lightning days as compared to non-lightning days. � 2010 IEEE.
author2	26326032700
author_facet	26326032700 Weng L.Y. Omar J.B. Siah Y.K. Ahmed S.K. Abidin I.B.Z. Abdullah N.
format	Conference paper
author	Weng L.Y. Omar J.B. Siah Y.K. Ahmed S.K. Abidin I.B.Z. Abdullah N.
author_sort	Weng L.Y.
title	Lightning forecasting using ANN-BP & radiosonde
title_short	Lightning forecasting using ANN-BP & radiosonde
title_full	Lightning forecasting using ANN-BP & radiosonde
title_fullStr	Lightning forecasting using ANN-BP & radiosonde
title_full_unstemmed	Lightning forecasting using ANN-BP & radiosonde
title_sort	lightning forecasting using ann-bp & radiosonde
publishDate	2023
_version_	1806425598065639424
score	13.222552

Lightning forecasting using ANN-BP & radiosonde

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