Municipal water demand prediction was a complex system predictive issue including a good many of factors.
城市用水需求预测是涉及到诸多要素的复杂系统预测问题。
In this paper, we mainly introduce the method of water demand prediction based on the artificial neural network, and further we evaluate and analyse it.
本文主要介绍基于人工神经网络需水量的预测方法，并对其进行综合评价与分析。
The prediction results of water demand for the previous years indicate that the model has high precision of prediction and definite versatility and objectivity.
对以往用水量预测结果表明该模型有较高预测精度、通用性和客观性。
A case study indicates that this method is efficient and accurate for the prediction of water demand in irrigation district.
分析表明，该法用于灌区作物需水预报有效、可行。
Taking Qingdao as the research object, the forecast research on its industrial water demand is conducted, the method of prediction USES the grey prediction model.
以青岛市为研究对象，对其工业需水量进行了预测研究，预测方法采用灰色预测理论。
The result shows that application of system dynamics model to predict urban water demand has the advantages of strong systematicness and high accuracy of prediction result.
结果表明，应用系统动力学模型预测城市需水量，系统性强，预测结果准确度高。
The application of Grey Theory in the prediction of medium and long-term urban water demand is studied in this paper.
研究了灰色系统理论在中长期城市需水量预测中的应用。
The application of Grey Theory in the prediction of medium and long-term urban water demand is studied in this paper.
研究了灰色系统理论在中长期城市需水量预测中的应用。
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