Evaluation of Genetic Programming for modeling solute breakthrough curve through the temporal data assignment scenarios

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@Article{Karimi:2013:JCEU,

• author = "Sepideh Karimi and Ali Ashraf Sdaraddini and Amir Hossein Nazemi and Reza Delear Hasannia and Ozgur Kisi",
• title = "Evaluation of Genetic Programming for modeling solute breakthrough curve through the temporal data assignment scenarios",
• journal = "Journal of Civil Engineering and Urbanism",
• year = "2013",
• volume = "3",
• number = "3",
• pages = "104--106",
• month = may,
• publisher = "Science Line Publication",
• keywords = "genetic algorithms, genetic programming, Gene Expression Programming, Breakthrough Curve, Bromide, Leave One Out",
• ISSN = "2252-0430",
• bibsource = "OAI-PMH server at www.doaj.org",
• oai = "oai:doaj-articles:66a2a2688582d3603c55a353e5c4bc4f",
• URL = "http://www.ojceu.ir/main/attachments/article/24/JCEU,C3-18.pdf",
• size = "3 pages",
• abstract = "A modelling procedure was assessed in the present paper to investigate the abilities of Gene Expression Programming (GEP) approach for modelling solute breakthrough curve. The evaluation of the GEP method for modelling solute breakthrough curve was carried out through complete data scanning techniques. In this way, a complete scan of the possible train and test set configurations was carried out according to temporal criteria using leave one out procedures. The obtained results reveal that the suitable assessment of the model performance should consider a complete temporal and/or spatial scan of the data set used.",
• notes = "http://www.ojceu.ir/main/",

}

Genetic Programming entries for Sepideh Karimi Seyed Ali Ashrafla Sadraddini Amir Hossein Nazemi Reza Delear Hasannia Ozgur Kisi

Citations