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。
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。
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。
应用推荐