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Título:
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Enhanced equal frequency partition method for the identification of a water demand system
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Autor/a:
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Escobet Canal, Antoni; Huber Garrido, Rafael M.; Nebot Castells, M. Àngela; Cellier, François E.
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Otros autores:
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Universitat Politècnica de Catalunya. Departament d'Enginyeria Minera, Industrial i TIC; Universitat Politècnica de Catalunya. Departament de Ciències de la Computació; Universitat Politècnica de Catalunya. SIC - Sistemes Intel·ligents de Control; Universitat Politècnica de Catalunya. SOCO - Soft Computing |
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Abstract:
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This paper deals with unsupervised partitioning. A first goal of this paper is to present an enhancement to the Equal Frequency Partition (EFP) method that allows to reduce, to some extent, the main drawback of this classical classification method, i.e. the data distribution dependency. A second goal of this work is to use the Enhanced Equal Frequency Partition (EEFP) method within the discretization process of the Fuzzy Inductive Reasoning (FIR) methodology for the identification of a model of a water demand system. It is shown that use of the EEFP method allows to obtain more accurate FIR models of the water demand system, reducing the prediction errors. |
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Abstract:
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Peer Reviewed |
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Materia(s):
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-Àrees temàtiques de la UPC::Informàtica::Automàtica i control
-Failure analysis (Engineering)
-Water -- Distribution
-Control theory
-Induction (Mathematics)
-Error analysis (Mathematics)
-Unsupervised partitioning
-Fuzzy inductive reasoning
-Water demand system
-Control theory
-Aigua -- Distribució
-Control, Teoria de
-Inducció (Matemàtica)
-Anàlisi d'error (Matemàtica) |
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Derechos:
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Tipo de documento:
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Artículo - Versión presentada
Objeto de conferencia |
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Editor:
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Sarjoughian,H.S.; Cellier, F.E.; Marefat, M.M.; Rozenblit, J.W. (eds.) Institute of Electrical and Electronics Engineers
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