Genetic programming for prediction of water flow and transport of solids in a basin

  • Authors:

  • Juan R. Rabuñal;Jerónimo Puertas;Daniel Rivero;Ignacio Fraga;Luis Cea;Marta Garrido

  • Affiliations:

  • Department of Information and Communication Technologies, University of Coruña, Facultad de Informática, Spain and Centre of Technological Innovations in Construction and Civil Engineeri ...;Centre of Technological Innovations in Construction and Civil Engineering, University of Coruña, A Coruña, Spain;Department of Information and Communication Technologies, University of Coruña, Facultad de Informática, Spain;Centre of Technological Innovations in Construction and Civil Engineering, University of Coruña, A Coruña, Spain;Centre of Technological Innovations in Construction and Civil Engineering, University of Coruña, A Coruña, Spain;Centre of Technological Innovations in Construction and Civil Engineering, University of Coruña, A Coruña, Spain

  • Venue:
  • IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
  • Year:
  • 2011

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Abstract

One of the applications of Data Mining is the extraction of knowledge from time series [1][2]. The Evolutionary Computation (EC) and the Artificial Neural Networks (ANNs) have proved to be suitable in Data Mining for handling this type of series [3] [4]. This paper presents the use of Genetic Programming (GP) for the prediction of time series in the field of Civil Engineering where the predictive structure does not follow the classic paradigms. In this specific case, the GP technique is applied to two phenomenon that models the process where, for a specific area, the fallen rain concentrates and flows on the surface, and later from the water flows is predicted the solids transport. In this article it is shown the Genetic Programming technique use for the water flows and the solids transport prediction. It is achieved good results both in the water flow prediction as in the solids transport prediction.