Please use this identifier to cite or link to this item: http://hdl.handle.net/10174/8372

Title: Applications of Artificial Intelligence Based Tools to Distinct Problems Related to Different Aspects of the Water Sector
Authors: Vicente, Henrique
Couto, Catarina
Dias, Susana
Neves, José
Editors: Roebeling, Peter
Rocha, João
Keywords: Water Quality Modelling
Knowledge Discovery from Databases
Artificial Neural Networks
Decision Trees
k-Means
Issue Date: 2013
Publisher: CESAM – Department of Environment & Planning – University of Aveiro
Citation: Vicente, H., Couto, C., Dias, S. & Neves, J., Applications of Artificial Intelligence Based Tools to Distinct Problems Related to Different Aspects of the Water Sector. In P. C. Roebeling & J. Rocha Eds., Proceedings of the International Conference & Workshops on Transboundary Water Management across Borders and Interfaces: Present and Future Challenges – TWAM 2013, pp. 67, CESAM – Department of Environment & Planning – University of Aveiro Edition, Aveiro, Portugal, 2013.
Abstract: This paper describes two applications of artificial intelligence based tools to distinct problems, related to different aspects of the water sector. The former describes the use of artificial neural networks (ANNs) to forecast the water quality of the Odivelas reservoir. The last is concerned with the development of clustering models applied to the public water supply. In this case an unsupervised learning was used to find groups of water with similar physical and chemical properties. Decision Trees were used in order to generate explanatory models of clusters formed. The number of clusters formed varied from 2 to 4. The model of the three clusters showed to be the most adequate since it allows differentiating the waters obtained from different sources.
URI: http://hdl.handle.net/10174/8372
ISBN: 978-972-789-377-5
Type: article
Appears in Collections:QUI - Artigos em Livros de Actas/Proceedings
CQE - Artigos em Livros de Actas/Proceedings

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