A Genetic Programming/NARMAX Approach to Nonlinear System Identification

Created by W.Langdon from gp-bibliography.bib Revision:1.7630

@InProceedings{Rodriguez-Vazquez:1997:GPnarmax,

• author = "K. Rodriguez-Vazquez and P. Fleming",
• title = "A Genetic Programming/{NARMAX} Approach to Nonlinear System Identification",
• booktitle = "Second International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications, GALESIA",
• year = "1997",
• editor = "Ali Zalzala",
• pages = "409--414",
• address = "University of Strathclyde, Glasgow, UK",
• publisher_address = "Savoy Place, London WC2R 0BL, UK",
• month = "1-4 " # sep,
• publisher = "Institution of Electrical Engineers",
• keywords = "genetic algorithms, genetic programming",
• ISBN = "0-85296-693-8",
• URL = "http://scitation.aip.org/getpdf/servlet/GetPDFServlet?filetype=pdf&id=IEECPS0019970CP446000409000001.pdf",
• DOI = "doi:10.1049/cp:19971215",
• size = "6 pages",
• abstract = "The tree-based coding structure of genetic programming is explored as an alternative to the more usual linear coding structure of conventional genetic algorithms for use in nonlinear system identification. Based on nonlinear polynomial model structures and the concept of the NARMAX model, genetic programming is shown to be effective in the selection of appropriate model structures.",
• notes = "GALESIA'97 CP446",

}

Genetic Programming entries for Katya Rodriguez-Vazquez Peter J Fleming

Citations