A prediction method of regional water resources carrying capacity based on artificial neural network

To better predict the water resources carrying capacity and guide social economic activities, a prediction method of regional is proposed based on an artificial neural network. Zhaozhou County selected as research area prediction, its natural geographical characteristics, economy, situation are explored. According to quantity utilization characteristics evaluation emphasis, index system constructed evaluate importance correlation resource capacity. The pressure degree divided into five grades. standard bearing capacity, intelligence BP network model constructed. Based main impact factors in this area, grade obtained by weight calculation convergence iteration using influence factor data realize results show that can meet demand for precision. have high fit with actual data, indicating human obtain accurate prediction.