将偏最小二乘回归与神经网络耦合，建立了城市生活用水量预测模型。
The paper establishes the model for the urban life-water quantity prediction by means of combining neural network with the partial least squares method.
城市生活用水量预测在城市水资源利用和节约用水规划管理中起着非常重要的作用。
The prediction of city municipal and domestic water consumption plays an important role in utilization of urban water resources.
分项预测了山西未来若干年的工农业及城市生活用水量，并分析了有关的计算误差。
A current computer programme will be used to predict the water consumption oF Shanxi Province on all water using issues such as agriculture, industry and daily living in the future years.
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