本演示的目的是描述人工神经网络（ANN）在短期需水量预测中的应用，并确定是否可以提高精度。本文总结了预测短期需水量的益处。对ANN进行了描述，并对其操作进行了详细说明。由于人工神经网络可以被训练来识别数据中的复杂关系和模式，因此它们可以快速准确地建模非线性关系，例如短期需水量预测中涉及的非线性关系。

The purpose of this presentation is to describe the application of an artificial neural network (ANN) to forecast short-term water demand, and determine if improvements in accuracy can be obtained. The paper summarizes the benefits of forecasting short-term water demand. ANN's are described and their operation detailed. As ANNs can be trained to recognize complex relationships and patterns in data they can rapidly and accurately model non-linear relationships such as those involved in short-term water demand forecasting.