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...
محفوظ في:
| المؤلف الرئيسي: | |
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| التنسيق: | أطروحة |
| اللغة: | English |
| منشور في: |
2009
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://ir.uitm.edu.my/id/eprint/86931/1/86931.PDF |
| الوسوم: |
إضافة وسم
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my-uitm-ir.86931 |
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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 |