Application of machine learning techniques in water distribution networks assisted by domain experts

摘要

This paper describes an ongoing work on the application of machine learning techniques in the domain of water distribution networks. This research is being done in the context of the European Esprit project Waternet. One part of this project is alearning system which intends to capture knowledge from historic information collected during the operation of a water distribution network. Captured knowledge is expected to contribute to improve the operation of the network. The ideas presented in thispaper describe the first development phase of this learning system, focusing specially in the practical methodology adopted. The interaction between different classes of human experts and the learning system are discussed. Finally some preliminaryexperimental results are presented.