Genetic Programming and Standardization in Water Temperature Modelling

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@Article{Arganis:2009:AiCE,

• title = "Genetic Programming and Standardization in Water Temperature Modelling",
• author = "Maritza Arganis and Rafael Val and Jordi Prats and Katya Rodriguez and Ramon Dominguez and Josep Dolz",
• journal = "Advances in Civil Engineering",
• year = "2009",
• volume = "2009",
• publisher = "Hindawi Publishing Corporation",
• keywords = "genetic algorithms, genetic programming",
• ISSN = "16878086",
• URL = "http://downloads.hindawi.com/journals/ace/2009/353960.pdf",
• DOI = "doi:10.1155/2009/353960",
• bibsource = "OAI-PMH server at www.doaj.org",
• language = "eng",
• oai = "oai:doaj-articles:c20c6fc231b4ba552b81c9f42d58f35f",
• abstract = "An application of Genetic Programming (an evolutionary computational tool) without and with standardization data is presented with the aim of modeling the behavior of the water temperature in a river in terms of meteorological variables that are easily measured, to explore their explanatory power and to emphasize the utility of the standardization of variables in order to reduce the effect of those with large variance. Recorded data corresponding to the water temperature behavior at the Ebro River, Spain, are used as analysis case, showing a performance improvement on the developed model when data are standardized. This improvement is reflected in a reduction of the mean square error. Finally, the models obtained in this document were applied to estimate the water temperature in 2004, in order to provide evidence about their applicability to forecasting purposes.",
• notes = "Article ID 353960",

}

Genetic Programming entries for Maritza Liliana Arganis Juarez Rafael Val Segura Jordi Prats Katya Rodriguez-Vazquez Ramon Dominguez Mora Jose Dolz Ripolles

Citations