Suliman, Azizah and Nazri, Nursyazana and Othman, Marini and Abdul Malek, Marlinda and Ku-Mahamud, Ku Ruhana (2013) Artificial neural network and support vector machine in flood forecasting: A review. In: 4th International Conference on Computing and Informatics (ICOCI 2013), 28 -30 August 2013, Kuching, Sarawak, Malaysia.

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Abstract

Flood is a natural phenomenon that can cause havocs and deaths.Although flood is sometimes unavoidable, early flood forecasting can be helpful for people to take precaution.In the past decades, researchers have been working on flood forecasting models using artificial intelligence (AI).AI models such as Artificial Neural Network (ANN) and Support Vector Machine (SVM) have been developed and implemented in different locations to help in weather forecasting over the past years. This paper reviews both methods and compares their experimental results.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	ISBN: 9789832078791 Organized by: Universiti Utara Malaysia
Uncontrolled Keywords:	Artificial Neural Network, Support Vector Machine, Flood forecasting , flood
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	College of Arts and Sciences
Depositing User:	Prof. Dr. Ku Ruhana Ku Mahamud
Date Deposited:	25 Aug 2014 07:04
Last Modified:	25 Aug 2014 07:04
URI:	https://repo.uum.edu.my/id/eprint/12033

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