Rain fall predict and comparing research based on Arcgis and BP neural network
Zimo Guan, Ziyu Tian, Yushi Xu, Dai Han · 2016
Based on the data of the rainfall from 24 base stations on the area of Chao River Basin in the near 54 years(range from 1958 to 2012) , the estimation is carried out by using Arcgis kriging interpolation and BP algorithms.And try to do the error analysis and the consequences comparing of these two results in the use of statistical approach.It is surely an innovative study which applies the advanced mathematical method in the rainfall research in the environmental field.After a serious of complicated data processing, the final conclusion is that it is feasible to apply BP neural network model to the forecast of rainfall, which is the correct method with high accuracy rate.