Title :
Notice of Retraction
Medium-Long Term Prediction of Monthly Discharge at Yangtze Three Gorges Based on Neural Network
Author :
Hu Guohua ; Xu Dongmei ; Sun Shuqing
Author_Institution :
Sch. of Water Conversancy, Changsha Univ. of Sci. & Technol., Changsha, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
In this paper, a neural network medium-long term hydrological forecasting model coupling LM algorithm with self-adaptive algorithm is established in combining statistical analysis with fuzzy analysis, choosing predictors such as rainfall and atmospheric circulation in previous stage that affect the monthly discharge at the Yichang Station of the Yangtze River, comparing the advantage and disadvantage of several modified BP algorithms, discussing several problems in the modeling process. The results of calculation show that the model is highly effective.
Keywords :
backpropagation; fuzzy set theory; geophysics computing; hydrological techniques; neural nets; statistical analysis; weather forecasting; BP algorithms; Yangtze River; Yangtze Three Gorges; Yichang Station; fuzzy analysis; medium-long term hydrological forecasting model; monthly discharge medium-long term prediction; neural network; statistical analysis; Artificial neural networks; Atmospheric modeling; Information technology; Neural networks; Oceans; Predictive models; Rivers; Statistical analysis; Sun; Technology forecasting; Medium-long Term Prediction; Monthly Discharge; Neural Network; Three Gorges;
Conference_Titel :
Information Technology and Applications, 2009. IFITA '09. International Forum on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3600-2
DOI :
10.1109/IFITA.2009.139
