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...

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Main Authors: Mohamad, Ahmad Johari, Mohamed, Mohd Rusllim, Mustafa, Mahfuzah, Aliman, Omar, Sulaiman, Mohd Herwan, Daud, Mohd Razali, Wan Mohd Faizal, Wan Ishak
Format: Research Report
Language:English
Published: 2017
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
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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