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

  • Luis M. Camarinha-Matos
  • Fernando J. Martinelli
Chapter
Part of the IFIP — The International Federation for Information Processing book series (IFIPAICT, volume 1)

Abstract

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 a learning 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 this paper 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 preliminary experimental results are presented.

Keywords

Machine learning water distribution network knowledge acquisition forecasting. 
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References

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Copyright information

© IFIP International Federation for Information Processing 1998

Authors and Affiliations

  • Luis M. Camarinha-Matos
    • 1
  • Fernando J. Martinelli
    • 1
  1. 1.Faculty of Sciences and TechnologyNew University of Lisbon and UninovaMonte CaparicaPortugal

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