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《Industrial Control Computer》 2009-10
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Study of Constant Flow Control of Sluice Gate Based on Neural Network

This paper mainly introduces the BP neural network,advanced BP neural network and RBF neural network,and get across modeling and MATLAB simulation combining Duliujian historical hydrological data,and compare the three kind of neural network to explore the optimal method of constant flow control.
【CateGory Index】: TH134;TP183
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【Citations】
Chinese Journal Full-text Database 2 Hits
1 WANG Tao~1,WU Xiao|yu~1,ZENG Hong|zhuan~1, HAN Li|ping~2(1.Nanshan Water Affair Bureau of Shenzhen,Shenzhen518059,China;2.Shenzhen Insititute of Information Technology);Application of neural network PID controller in canal operation system[J];Journal of Hydraulic Engineering;2004-11
2 WU Men-wu, CHEN Li, ZHOU Jia-yucience,Wuhan University, Wuhan 430072, China);Analysis of water discharge through Dahe sluice[J];Journal of Wuhan University of Hydraulic and Electric Engineering;2003-05
【Secondary Citations】
Chinese Journal Full-text Database 1 Hits
1 WANG Chang de, KE Shan qing, FENG Xiao bo (College of Water Conservancy and Hydropower Engineering, Wuhan Univ. of Hydr. & Elec. Eng., Wuhan 430072, China);Using P+PR controller into Bival control algorithm for automatic operation of open channel[J];JOURNAL OF WUHAN UNIVERSITY OF HYDRAULIC AND ELECTRIC ENGINEERING;2000-02
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