Interpolation of missing hydrological data based on BP-Neural Networks

The elevation of hydrologic station is the key point of hydrologic analysis. This paper will adopt BP-Neural Networks to set up a model of interpolation about the missing elevation data of hydrologic station. The data set of hydrologic station is about drainage area in the middle and lower reaches of Yellow river, or in some branches of Yellow river such as Wei river and Jing river. The result of training shows, when we choose a data set that position of longitude and altitude is close by the missing data, or we choose a data set in the same river, accuracy of prediction that using this model is good.