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...

Full description

Saved in:
Bibliographic Details
Main Author: Hanapi, Zuhaida
Format: Thesis
Language:English
Published: 2009
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/86931/1/86931.PDF
https://ir.uitm.edu.my/id/eprint/86931/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uitm.ir.86931
record_format eprints
spelling my.uitm.ir.869312024-03-24T23:51:12Z https://ir.uitm.edu.my/id/eprint/86931/ Artificial Neural Network (ANN) - Meta EP technique for lighting prediction / Zuhaida Hanapi 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 NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/86931/1/86931.PDF Artificial Neural Network (ANN) - Meta EP technique for lighting prediction / Zuhaida Hanapi. (2009) Degree thesis, thesis, Universiti Teknologi MARA (UiTM).
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
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
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
publishDate 2009
url https://ir.uitm.edu.my/id/eprint/86931/1/86931.PDF
https://ir.uitm.edu.my/id/eprint/86931/
_version_ 1794641226619682816
score 13.211869