Cover Image

Development of Artificial Neural Network for lightning prediction under Malaysia environment: article / Jeremy AK Stewart Bedimbap

In recent years, lightning strike on building has become a major concern. Many researchers have to search for the best solution and method to predict lightning activity. It will be easier for them to minimize the effect of lightning strike on building. This paper presents the development of Artifici...

Full description

Saved in:
Bibliographic Details
Main Author: Stewart Bedimbap, Jeremy
Format: Article
Language:English
Published: Universiti Teknologi MARA (UiTM) 2009
Online Access:https://ir.uitm.edu.my/id/eprint/97501/1/97501.PDF
https://ir.uitm.edu.my/id/eprint/97501/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uitm.ir.97501
record_format eprints
spelling my.uitm.ir.975012024-06-26T03:06:25Z https://ir.uitm.edu.my/id/eprint/97501/ Development of Artificial Neural Network for lightning prediction under Malaysia environment: article / Jeremy AK Stewart Bedimbap Stewart Bedimbap, Jeremy In recent years, lightning strike on building has become a major concern. Many researchers have to search for the best solution and method to predict lightning activity. It will be easier for them to minimize the effect of lightning strike on building. This paper presents the development of Artificial Neural Network (ANN) for lightning prediction under Malaysia environment. The system was implemented using the data from Malaysia Meteorological Service (MMS) and Tenaga National Berhad (TNB) for weather data and lightning data respectively. In the proposed method, a three layer back-propagation neural network with Levenberg Marquardt algorithm has been developed and predict the output data for four hours in advanced. Through training, ANN will able to recognize the pattern of input data and predict for the future output. The Levenberg Marquardt technique has been used to train ANN that receive input data and select the best output with the smallest error between output data and target data. Lastly, testing process is a stage that used developed network to predict lightning for four hours in advanced. Moreover, single ANN and modular ANN have been developed in order to compare the performance of both ANN for lightning prediction. All the simulation was done using the MATLAB software. Universiti Teknologi MARA (UiTM) 2009 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/97501/1/97501.PDF Development of Artificial Neural Network for lightning prediction under Malaysia environment: article / Jeremy AK Stewart Bedimbap. (2009) pp. 1-6.
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 In recent years, lightning strike on building has become a major concern. Many researchers have to search for the best solution and method to predict lightning activity. It will be easier for them to minimize the effect of lightning strike on building. This paper presents the development of Artificial Neural Network (ANN) for lightning prediction under Malaysia environment. The system was implemented using the data from Malaysia Meteorological Service (MMS) and Tenaga National Berhad (TNB) for weather data and lightning data respectively. In the proposed method, a three layer back-propagation neural network with Levenberg Marquardt algorithm has been developed and predict the output data for four hours in advanced. Through training, ANN will able to recognize the pattern of input data and predict for the future output. The Levenberg Marquardt technique has been used to train ANN that receive input data and select the best output with the smallest error between output data and target data. Lastly, testing process is a stage that used developed network to predict lightning for four hours in advanced. Moreover, single ANN and modular ANN have been developed in order to compare the performance of both ANN for lightning prediction. All the simulation was done using the MATLAB software.
format Article
author Stewart Bedimbap, Jeremy
spellingShingle Stewart Bedimbap, Jeremy
Development of Artificial Neural Network for lightning prediction under Malaysia environment: article / Jeremy AK Stewart Bedimbap
author_facet Stewart Bedimbap, Jeremy
author_sort Stewart Bedimbap, Jeremy
title Development of Artificial Neural Network for lightning prediction under Malaysia environment: article / Jeremy AK Stewart Bedimbap
title_short Development of Artificial Neural Network for lightning prediction under Malaysia environment: article / Jeremy AK Stewart Bedimbap
title_full Development of Artificial Neural Network for lightning prediction under Malaysia environment: article / Jeremy AK Stewart Bedimbap
title_fullStr Development of Artificial Neural Network for lightning prediction under Malaysia environment: article / Jeremy AK Stewart Bedimbap
title_full_unstemmed Development of Artificial Neural Network for lightning prediction under Malaysia environment: article / Jeremy AK Stewart Bedimbap
title_sort development of artificial neural network for lightning prediction under malaysia environment: article / jeremy ak stewart bedimbap
publisher Universiti Teknologi MARA (UiTM)
publishDate 2009
url https://ir.uitm.edu.my/id/eprint/97501/1/97501.PDF
https://ir.uitm.edu.my/id/eprint/97501/
_version_ 1802981133687717888
score 13.211869

Similar Items