Based on ANN model to forecast the groundwater level on the area of well irrigation rice
Zhang Huan-zhao · Water Conservancy Science and Technology and Economy · 2003
Through applying a kind of mended BP arithmetic which have momentum learning regular, the paper simulate the monthly groundwater depth about well irrigation rice of Chuangye Farm in Sanjiang Plain Combining the artificial neural networks with the practical problem of the area of well irrigation rice, the writer build up the ANN model Through testing and forecasting, the model precision and forecasting precision are high So, the ANN model can provide some references for many aspects, such as saving groundwater resources, resuming the balance of groundwater in this area, establishing the optimum irrigation system of well irrigation rice, developing water saving irrigation and so on It can advance the agriculture and water resource to develop continuum also