Flood Forecasting Research Based on the Chaotic BP Neural Network Model
2010 ◽
Vol 439-440
◽
pp. 411-416
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Keyword(s):
In view of the problem that the predictive results of flow quantity are not ideal for the predictive models at present. Based on the chaos identification to the flood system, chaos BP neural network model are developed combined chaos theory and BP neural netwok, flood sequences are disposed by phase-space reconstruction to be as training sample. Network structure can be determined by Matlab toolbox. The established chaos BP model is used to predict the phenomenon of peak value for Huayuankou hydrometric station in 2006. The results show that the predictive model combined chaos theory and BP neural network, has certain reference value to improve flood forecasting accuracy as a new attempt.
2014 ◽
Vol 584-586
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pp. 1346-1350
Keyword(s):
2020 ◽
Vol 612
◽
pp. 012066
Keyword(s):
2019 ◽
Vol 33
(09)
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pp. 1959028
◽
2021 ◽
Vol 1744
(4)
◽
pp. 042232
Keyword(s):
Keyword(s):
2010 ◽
Vol 34-35
◽
pp. 301-305