Analyzing Water Diversion Demand For Irrigation Areas at Lower Reach of Yellow River with BP Neural Network Techniques

Artificial neural network is a brand new modeling technique, and BP algorithm is the most commonly used method. The basic principle of neural network and BP algorithm is introduced, and an artificial neural network model for water diversion demand estimate is developed. Case study indicates that the model is feasible and reliable, and provides a basic theory and a practical technique to estimate water diversion demand for irrigation areas at lower reaches of the Yellow River.