Genetic Programming for Prediction of Water Flow and Transport of Solids in a Basin

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{Rabunal:2011:IWINAC,
  author =       "Juan R. Rabunal and Jeronimo Puertas and 
                 Daniel Rivero and Ignacio Fraga and Luis Cea and Marta Garrido",
  title =        "Genetic Programming for Prediction of Water Flow and
                 Transport of Solids in a Basin",
  booktitle =    "Proceedings of the 4th International Work-Conference
                 on the Interplay Between Natural and Artificial
                 Computation, IWINAC 2011, Part 2",
  year =         "2011",
  editor =       "Jose Manuel Ferrandez and 
                 Jose Ramon {Alvarez Sanchez} and Felix {de la Paz} and F. Javier Toledo",
  series =       "Lecture Notes in Computer Science",
  pages =        "223--232",
  volume =       "6687",
  address =      "La Palma, Canary Islands, Spain",
  month =        may # " 30-" # jun # " 3",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-642-21325-0",
  DOI =          "doi:10.1007/978-3-642-21326-7_25",
  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.",
  affiliation =  "Department of Information and Communication
                 Technologies, Facultad de Informatica, University of
                 Coruna, Campus de Elvina, A Coruna, 15071 Spain",
}

Genetic Programming entries for Juan Ramon Rabunal Dopico Jeronimo Puertas Agudo Daniel Rivero Cebrian Ignacio Fraga Luis Cea Marta Garrido

Citations