Real time prediction for Sungai Isap residence using artificial intelligence techniques
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...
| Main Authors: | , , , , , , |
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| Format: | Research Report |
| Language: | English |
| Published: |
2017
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/36432/ http://umpir.ump.edu.my/id/eprint/36432/1/Real%20time%20prediction%20for%20Sungai%20Isap%20residence%20using%20artificial%20intelligence%20techniques.wm.pdf |
| _version_ | 1848824993815724032 |
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| author | Mohamad, Ahmad Johari Mohamed, Mohd Rusllim Mustafa, Mahfuzah Aliman, Omar Sulaiman, Mohd Herwan Daud, Mohd Razali Wan Mohd Faizal, Wan Ishak |
| author_facet | Mohamad, Ahmad Johari Mohamed, Mohd Rusllim Mustafa, Mahfuzah Aliman, Omar Sulaiman, Mohd Herwan Daud, Mohd Razali Wan Mohd Faizal, Wan Ishak |
| author_sort | Mohamad, Ahmad Johari |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T03:21:52Z |
| format | Research Report |
| id | ump-36432 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:21:52Z |
| publishDate | 2017 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-364322023-03-02T01:35:24Z http://umpir.ump.edu.my/id/eprint/36432/ Real time prediction for Sungai Isap residence using artificial intelligence techniques Mohamad, Ahmad Johari Mohamed, Mohd Rusllim Mustafa, Mahfuzah Aliman, Omar Sulaiman, Mohd Herwan Daud, Mohd Razali Wan Mohd Faizal, Wan Ishak TK Electrical engineering. Electronics Nuclear engineering 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. 2017 Research Report NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/36432/1/Real%20time%20prediction%20for%20Sungai%20Isap%20residence%20using%20artificial%20intelligence%20techniques.wm.pdf 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] (Unpublished) |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Mohamad, Ahmad Johari Mohamed, Mohd Rusllim Mustafa, Mahfuzah Aliman, Omar Sulaiman, Mohd Herwan Daud, Mohd Razali Wan Mohd Faizal, Wan Ishak Real time prediction for Sungai Isap residence using artificial intelligence techniques |
| title | Real time prediction for Sungai Isap residence using artificial intelligence techniques |
| title_full | Real time prediction for Sungai Isap residence using artificial intelligence techniques |
| title_fullStr | Real time prediction for Sungai Isap residence using artificial intelligence techniques |
| title_full_unstemmed | Real time prediction for Sungai Isap residence using artificial intelligence techniques |
| title_short | Real time prediction for Sungai Isap residence using artificial intelligence techniques |
| title_sort | real time prediction for sungai isap residence using artificial intelligence techniques |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://umpir.ump.edu.my/id/eprint/36432/ http://umpir.ump.edu.my/id/eprint/36432/1/Real%20time%20prediction%20for%20Sungai%20Isap%20residence%20using%20artificial%20intelligence%20techniques.wm.pdf |