Genetic programming to obtain mathematical models from turbine data using symbolic regression

Created by W.Langdon from gp-bibliography.bib Revision:1.8772

@InProceedings{Pichardo:2020:SIMMAC,

• author = "Romero Pichardo and Erick Jacob",
• title = "Genetic programming to obtain mathematical models from turbine data using symbolic regression",
• booktitle = "XXII Simposio Internacional de Metodos Matematicos Aplicados a las Ciencias, SIMMAC",
• year = "2020",
• editor = "Mario Villalobos Arias and others",
• pages = "117",
• address = "San Jose, Costa Rica",
• month = "25-28 " # feb,
• organisation = "CIMPA",
• keywords = "genetic algorithms, genetic programming: Poster",
• isbn13 = "978-9930-9546-6-9",
• URL = "https://simmac.ucr.ac.cr/images/SIMMAC/Documentos/Programas_anteriores/XXII_SIMMAC.pdf",
• size = "1 page",
• abstract = "We describes how to find a mathematical model from data of turbines using genetic programming, particularly is explained how symbolic regression was used to obtain the model.",

}

Genetic Programming entries for Romero Pichardo Erick Jacob

Citations