Wan Ishak, Wan Hussain and Ku-Mahamud, Ku Ruhana and Md Norwawi, Norita (2011) Intelligent decision support model based on neural network to support reservoir water release decision. In: 2nd International Conference on Software Engineering and Computer Systems (ICSECS 2011), 27-29 June 2011, Universiti Malaysia Pahang, Kuantan, Malaysia.

PDF Restricted to Repository staff only Download (912kB)

Abstract

Reservoir is one of the emergency environments that required fast an accurate decision to reduce flood risk during heavy rainfall and contain water during less rainfall. Typically, during heavy rainfall, the water level increase very fast, thus decision of the water release is timely and crucial task. In this paper, intelligent decision support model based on neural network (NN) is proposed. The proposed model consists of situation assessment, forecasting and decision models. Situation assessment utilized temporal data mining technique to extract relevant data and attribute from the reservoir operation record. The forecasting model utilize NN to perform forecasting of the reservoir water level, while in the decision model, NN is applied to perform classification of the current and changes of reservoir water level. The simulations have shown that the performances of NN for both forecasting and decision models are acceptably good.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	Published in the “Communications in Computer and Information Science” (CCIS) Series of Springer
Uncontrolled Keywords:	Emergency Management, Intelligent Decision Support System, Neural Network, Forecasting.
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	College of Arts and Sciences
Depositing User:	Prof. Dr. Ku Ruhana Ku Mahamud
Date Deposited:	21 Dec 2011 04:41
Last Modified:	21 Jan 2013 01:52
URI:	https://repo.uum.edu.my/id/eprint/4016

Actions (login required)

View Item