Application of BP Neural Network in Short-term Hydrological Forecasting Based on C# Language

• 作 者: Yongbin Xiang Chuan Liang Yuan Lin
• 出 处: 35th IAHR World Congress(第三十五届国际水利学大会)
• 发表日期: 2013年2期
• 关键词: Application BP neural network Short-term Hydrologic forecasting C# language

In this paper, the authors first introduced the hydrology correlations of the upstream and downstream reaches, and the features of BP artificial neural network algorithm, discussed and used the C# programming language to build a program by using BP neural network algorithm to achieve the river flow forecasting procedures, and then used it for short-term hydrologic forecasting from Shigu to Panzhihua hydrologic stations in the Jinsha River of the Yangtze River upstream basin.