Use BP Neural Network Model to Predict Water Demand

To improve the efficiency of artificial neural network learning, this article gives the introduction of auto-regression model, correlation analysis of historical data to identify the input samples are highly correlated, and establish a BP neural model to predict future water demand. Take a city urban water demand forecast as an example, it uses the historical water demand data with a high degree of correlation between the establishment of BP neural network forecasting model, the results show a high degree of correlation between historical data to improve the prediction accuracy of BP neural network has a good role in promoting.