Thunderstorm forecasting by using Artificial Neural Network (ANN) / Ahmad Faiduddin Ali

Ali, Ahmad Faiduddin (2010) Thunderstorm forecasting by using Artificial Neural Network (ANN) / Ahmad Faiduddin Ali. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

Thunderstorm is a form of weather characteristic containing strong wind, lightning, heavy rain and sometimes snow or hail. It can be associated with a cloud type of cumulonimbus. Depending on its type, thunderstorm has great potential to produce serious damage to human life and property. Therefore, there are many sophisticated instrument used to record weather data such as Doppler radar and satellite. By using these data, based on the statistical, mathematical or soft computing technique can be done in order to predict the occurrence the weather characteristic.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
Ali, Ahmad Faiduddin
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Johari, Dalina
UNSPECIFIED
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Programme: Bachelor of Electrical Engineering (Hons.)
Keywords: Thunderstorm, damage, cross-validation technique
Date: 2010
URI: https://ir.uitm.edu.my/id/eprint/84466
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