Artificial Neural Network (ANN) - Meta EP technique for lighting prediction / Zuhaida Hanapi

Malaysia has high lightning and thunderstorm occurrences throughout the year because it is situated near the equator line which is characterized by high lightning and thunderstorm activity. With the existing and availability of many sophisticated instrument, weather data can be recorded easily. By u...

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Bibliographic Details
Main Author:	Hanapi, Zuhaida
Format:	Thesis
Language:	English
Published:	2009
Subjects:	Neural networks (Computer science)
Online Access:	https://ir.uitm.edu.my/id/eprint/86931/1/86931.PDF
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id	my-uitm-ir.86931
record_format	uketd_dc
spelling	my-uitm-ir.869312024-03-24T23:51:12Z Artificial Neural Network (ANN) - Meta EP technique for lighting prediction / Zuhaida Hanapi 2009 Hanapi, Zuhaida Neural networks (Computer science) Malaysia has high lightning and thunderstorm occurrences throughout the year because it is situated near the equator line which is characterized by high lightning and thunderstorm activity. With the existing and availability of many sophisticated instrument, weather data can be recorded easily. By using these data, some efforts are being made in order to improve the prediction of weather conditions with great potentiality. This project presents the development of Meta-Evolutionary Programming (EP) and Artificial Neural Network (ANN) prediction system for lightning occurrence based on historical lightning and meteorological data. 2009 Thesis https://ir.uitm.edu.my/id/eprint/86931/ https://ir.uitm.edu.my/id/eprint/86931/1/86931.PDF text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Johari, Dalina
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Johari, Dalina
topic	Neural networks (Computer science)
spellingShingle	Neural networks (Computer science) Hanapi, Zuhaida Artificial Neural Network (ANN) - Meta EP technique for lighting prediction / Zuhaida Hanapi
description	Malaysia has high lightning and thunderstorm occurrences throughout the year because it is situated near the equator line which is characterized by high lightning and thunderstorm activity. With the existing and availability of many sophisticated instrument, weather data can be recorded easily. By using these data, some efforts are being made in order to improve the prediction of weather conditions with great potentiality. This project presents the development of Meta-Evolutionary Programming (EP) and Artificial Neural Network (ANN) prediction system for lightning occurrence based on historical lightning and meteorological data.
format	Thesis
qualification_level	Bachelor degree
author	Hanapi, Zuhaida
author_facet	Hanapi, Zuhaida
author_sort	Hanapi, Zuhaida
title	Artificial Neural Network (ANN) - Meta EP technique for lighting prediction / Zuhaida Hanapi
title_short	Artificial Neural Network (ANN) - Meta EP technique for lighting prediction / Zuhaida Hanapi
title_full	Artificial Neural Network (ANN) - Meta EP technique for lighting prediction / Zuhaida Hanapi
title_fullStr	Artificial Neural Network (ANN) - Meta EP technique for lighting prediction / Zuhaida Hanapi
title_full_unstemmed	Artificial Neural Network (ANN) - Meta EP technique for lighting prediction / Zuhaida Hanapi
title_sort	artificial neural network (ann) - meta ep technique for lighting prediction / zuhaida hanapi
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2009
url	https://ir.uitm.edu.my/id/eprint/86931/1/86931.PDF
_version_	1804889756809560064

Artificial Neural Network (ANN) - Meta EP technique for lighting prediction / Zuhaida Hanapi

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