Intelligent decision support model based on neural network to support reservoir water release decision
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 tas...
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my.usim-92132015-08-25T07:17:53Z Intelligent decision support model based on neural network to support reservoir water release decision Ishak, Wan K.R., Ku-Mahamud, N., Md Norwawi, Emergency Management Forecasting Intelligent Decision Support System Neural Network 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. © 2011 Springer-Verlag. 2015-08-25T07:17:53Z 2015-08-25T07:17:53Z 2011-01-01 Conference Paper 9783-6422-2169-9 1865-0929 http://ddms.usim.edu.my/handle/123456789/9213 en_US |
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Emergency Management Forecasting Intelligent Decision Support System Neural Network Ishak, Wan K.R., Ku-Mahamud, N., Md Norwawi, Intelligent decision support model based on neural network to support reservoir water release decision |
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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. © 2011 Springer-Verlag. |
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Conference Paper |
author |
Ishak, Wan K.R., Ku-Mahamud, N., Md Norwawi, |
author_facet |
Ishak, Wan K.R., Ku-Mahamud, N., Md Norwawi, |
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Ishak, Wan |
title |
Intelligent decision support model based on neural network to support reservoir water release decision |
title_short |
Intelligent decision support model based on neural network to support reservoir water release decision |
title_full |
Intelligent decision support model based on neural network to support reservoir water release decision |
title_fullStr |
Intelligent decision support model based on neural network to support reservoir water release decision |
title_full_unstemmed |
Intelligent decision support model based on neural network to support reservoir water release decision |
title_sort |
intelligent decision support model based on neural network to support reservoir water release decision |
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2015 |
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http://ddms.usim.edu.my/handle/123456789/9213 |
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1645152563779076096 |
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13.222552 |