本文的目的是展示一种相对较新的技术，即人工神经网络（ANN）在模拟饮用水中氯需求和THM发生方面的潜在贡献。首先，简要概述了氯气需求和THM形成的经典建模方法。文中还介绍了人工神经网络建模方法以及氯需求和三卤甲烷生成模型的开发。最后，将经典模型与人工神经网络模型进行比较，可以评估人工神经网络的贡献，并确定其应用可能有用的条件。

The objective of this paper is to present the potential contribution of a relatively recent technique, artificial neural networks (ANNs) in modelling chlorine demand and THM occurrence in drinking water. First, a brief overview of modelling with classical approaches is made for both chlorine demand and THM formation. The ANN modelling approach and the development of models for chlorine demand and THM formation are also described. Finally, a comparison of classical models with ANN models permits the evaluation of the contribution of ANNs and the identification of the conditions in which their application may be useful.