BP神经网络预测河流月径流量

he monthly runoff changes randomly and there are a lot of influence ingredients, for example human activities, rainfall, the soil and plant conditions on the ground. Set up BP neural network basing on the theory of artificial neural network, and then use this BP neural network to predict the every-month runoff can get good results, whereas the BP neural network model can give the result quickly, and it’s precise and credible. We use the model to predict. First, use a large mount of samples to practice the BP neural network model. After such training, we utilize this model to predict the monthly runoff, finally get a satisfied result.