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Cited by 149 publications
(68 citation statements)
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“…A procedure to devise a general operating policy toward reservoir operation from a dynamic programming using neural network (DPN) was suggested [19]. Relatively new technique of using ANNs researched for forecasting short-term water demand [20].…”
Section: Introductionmentioning
confidence: 99%
“…A procedure to devise a general operating policy toward reservoir operation from a dynamic programming using neural network (DPN) was suggested [19]. Relatively new technique of using ANNs researched for forecasting short-term water demand [20].…”
Section: Introductionmentioning
confidence: 99%
“…The annual sediment runoff a preferable simulation effect for the daily and monthly runoff time series. The ANN is also adopted to derive operating policies of a reservoir, such as [15][16][17][18]. Neelakantan and Pundarikanthan [19] presented a planning model for reservoir operation using a combined backpropagation neural network simulation-optimization (Hooke and Jeeves nonlinear optimization method) process.…”
Section: Introductionmentioning
confidence: 99%
“…Some authors (Needham et al, 2000;Raman and Chandramouli, 1996;Chang, 2008;Ngo et al, 2007) propose models that optimise the reservoir operation using a limited number of events (recorded floods, events associated to selected return periods, etc.). Thus, the performance of the reservoir operation model is limited to the specific hydrologic conditions of those events.…”
Section: Introductionmentioning
confidence: 99%