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《Journal of Dalian University of Technology》 2008-02
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River flow forecasting model based on fuzzy inference and associated rules analysis

ZHANG Chi,ZHOU Hui-cheng,LI WeiSchool of Civil and Hydraulic Engineering,Dalian University of Technology,Dalian 116024,China  
The processing of river flow forecasting includes complicated non-linear calculation,how to gain the characteristics of downriver watercourse duly and exactly based on the river flow forecasting model is very important in practice.Aiming at the existing problems on the number of fuzzy rules and parameters in traditional fuzzy inference,a new model based on T-S fuzzy inference engine is proposed to forecast river flow,which confirms rule numbers and model parameters by using associated rules analysis on historical data and non-liner programming method and therefore predicts the future flux value.Through case study,it is testified that the established model based on fuzzy inference and associated rules analysis is easy to understand and implement,especially to excellent precision for flood forecasting.
【Fund】: 国家自然科学基金资助项目(50479056);; 大连市科技计划资助项目(2007E21SF165)
【CateGory Index】: TV124
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【References】
Chinese Journal Full-text Database 1 Hits
1 ZHANG Chi1,ZHOU Hui-cheng1,WANG Ben-de1,JIANG Yun-zhong2(1.School of Civil and Hydraulic Engineering,Dalian University of Technology,Dalian 116024,China,2.China Institute of Water Resources and Hydrpower Research,Biejing 100044,China);Combined forecast method for classified forecast of river flood propagation[J];Journal of Harbin Institute of Technology;2008-08
【Co-citations】
Chinese Journal Full-text Database 6 Hits
1 Li Zhijia Zhou Yi Ma Zhenkun(College of Hydrology and Water Resources,Hohai University,Nanjing 210098,China);River channel flood forecasting method of coupling wavelet neural network with autoregressive model[J];东南大学学报(英文版);2008-01
2 ;Simulation of Suspended Sediment Concentration in the South Branch of Yangtze Estuary Using Elman Network[J];Computer Development & Applications;2007-06
3 WU Sheng1,XIE Jian-cang1,WANG Zhi-rong2,HUANG Duo3,WANG Ya-mei1(1.Research Institute of Water Resource,Xi'an University of Technology,Xi'an 710048;2.School of Environment Science and Safety Engineering,Tianjin Institute of Technology,Tianjin 300191;3.Management School,Xi'an University of Technology,Xi'an 710048);Runoff Coefficient Forecast of Typical Underlying Surface Based on Neural Network Method[J];Environmental Science & Technology;2007-05
4 LI Cheng-lin,YANG Bin-bin;Flood forecast model of Fengman reservoir based on BP neural network and genetic algorithm[J];Water Resources & Hydropower of Northeast China;2009-08
5 LI Shi-jin,ZHANG Xiao-hua, WAN Ding-sheng, ZHU Yue-long(School of Computer and Information Engineering,Hohai University,Nanjing 210098,China);Estimation of Water Level Propagation Time between Two Measuring Stations Based on DTW[J];Journal of Jiangnan University(Natural Science Edition);2007-06
6 Yu Guoqiang1,Li Zhanbin 1,2,Zhang Xia 3,Li Peng 1,Liu Haibo 1 (1.Key Laboratory of Northwest Water Resources and Environment Ecology Xi'an University of Technology,Xi'an 710048,China; 2.State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau,Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources,Yangling 712100,China; 3.Research and Design Institute of Environmental Science of Shaanxi Province,Xi'an 710061,China);Dynamic simulation of soil water-salt using BP neural network model and grey correlation analysis[J];Transactions of the Chinese Society of Agricultural Engineering;2009-11
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