Application of PSO-BP Model in Short-Term Prediction of Urban Water Consumption
PSO-BP模型在城市用水量短期预测中的应用

In order to overcome the over-fitting problem and the local minima problem of the BP neural network method,the PSO-BP prediction model concerned on the hourly urban water consumption was developed.The model was based on the analysis of the characters of the hourly urban water consumption data and the particle swarm optimization(PSO) algorithms with the global stochastic optimization idea.The experimental results indicated that the average prediction precision increased by 2 per cent,compared to the traditional BP method.It was also shown that this model was faster in computation and had better generalization performance,which proved to be effective in short-term prediction of urban water consumption.