Construction and Application of Fuzzy Neural Network Model in Precipitation Forecast of Sanjiang Plain, China

摘要：

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.

关键词： Sanjiang Plain precipitation BP network fuzzy mathematics

作者: Li Hongxia Li Chuanwei

作者单位: Management department of Shanghai Customs College Shanghai, 201204, China College of Economics and Management Heilongjiang Bayi Land-Reclamation University Daqing, 160001, Ch

会议类型: 国际会议

会议名称: The 4th International Conference on Wireless Communications, Networking and Mobile Computing(第四届IEEE无线通信、网络技术及移动计算国际会议)

会议地点: 大连

会议语种:英文

页码: 1-3

在线出版日期: 2008-10-12（万方平台首次上网日期，不代表论文的发表时间）