DocumentCode
479000
Title
Construction and Application of Fuzzy Neural Network Model in Precipitation Forecast of Sanjiang Plain, China
Author
Li Hongxia ; Li Chuanwei
Author_Institution
Dept. of Manage., Shanghai Customs Coll., Shanghai
fYear
2008
fDate
12-14 Oct. 2008
Firstpage
1
Lastpage
3
Abstract
Sanjiang Plain is the biggest freshwater marsh area of China. In recent years, precipitation reduction is an important natural factor leading to the decrease of marsh area, and Bielahong River is a representative marsh river in Sanjiang Plain, so taking the precipitation of hydrological stations on the river as an example, a fuzzy neural network model is constructed to forecast precipitation, which obtains excellent results and provides a new thought for the research of the field.
Keywords
atmospheric precipitation; environmental science computing; fuzzy neural nets; fuzzy set theory; water resources; Bielahong River; China; Sanjiang Plain; freshwater marsh area; fuzzy neural network model; hydrological stations; precipitation forecast; precipitation reduction; Demand forecasting; Distribution functions; Economic forecasting; Educational institutions; Fuzzy neural networks; Fuzzy set theory; Fuzzy sets; Predictive models; Rivers; Water resources;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-2107-7
Electronic_ISBN
978-1-4244-2108-4
Type
conf
DOI
10.1109/WiCom.2008.2570
Filename
4680759
Link To Document