Mohamad, Ahmad Johari and Mohamed, Mohd Rusllim and Mustafa, Mahfuzah and Aliman, Omar and Sulaiman, Mohd Herwan and Daud, Mohd Razali and Wan Mohd Faizal, Wan Ishak (2017) Real time prediction for Sungai Isap residence using artificial intelligence techniques. , [Research Report: Research Report] (Unpublished)
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Abstract
A flood is an extremely dangerous disaster that able wipe away an entire city, coastline, and rural area. The flood caused wide destroy to property and life that has the supreme corrosive force and can he highly damaging. This research explores the use of Artificial Neural Network (ANN) and Support Vector Machine (SVM) method to predict on the flood. Totally investigated 29 month data covering from January 2013 until May 2015 in Sungai Isap Kuantan, Pahang, Malaysia. Temperature, precipitation, dew point, humidity, sea level pressure, visibility, wind, and river level consider as a factor of a flood. This study proposes a comparison of prediction of SVM and ANN in flood. It is expected that SVM giving best result compare to ANN in term of accurate prediction with that prediction result is near to actual result.
| Item Type: | Research Report |
|---|---|
| Additional Information: | RESEARCH VOTE NO: RDU1403138 |
| Uncontrolled Keywords: | Artificial Neural Network (ANN); Support Vector Machine (SVM) |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Depositing User: | En. Mohd Ariffin Abdul Aziz |
| Date Deposited: | 02 Mar 2023 01:35 |
| Last Modified: | 02 Mar 2023 01:35 |
| URI: | http://umpir.ump.edu.my/id/eprint/36432 |
| Download Statistic: | View Download Statistics |
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