Paper Info
Title
Intelligent Decision Support Model Based on Neural Network to Support Reservoir Water Release Decision.
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.
Year
Venue
Keywords
2011
Communications in Computer and Information Science
Emergency Management,Intelligent Decision Support System,Neural Network,Forecasting
Field
DocType
Volume
Intelligent decision,Data mining,Intelligent decision support system,Computer science,Emergency management,Situation analysis,Decision model,Artificial intelligence,Artificial neural network,Water level,Machine learning,Flood myth
Conference
179
ISSN
Citations 
PageRank 
1865-0929
0
0.34
References 
Authors
3
3
Name
Order
Citations
PageRank
Wan Hussain Wan Ishak100.68
Ku Ruhana Ku Mahamud2229.33
Norita Md. Norwawi3155.87