Soft Computing-Based Result Prediction of Football Games

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

@InProceedings{oai:CiteSeerPSU:563995,

• title = "Soft Computing-Based Result Prediction of Football Games",
• author = "A. Tsakonas and G. Dounias and S. Shtovba and V. Vivdyuk",
• booktitle = "The Ist International Conference on Inductive Modelling (ICIM'2002)",
• year = "2002",
• editor = "V. Hrytsyk",
• pages = "15--23",
• address = "Lviv, Ukraine",
• month = "20-25 " # may,
• organisation = "National Academy of Sciences of Ukraine (NASU)",
• keywords = "genetic algorithms, genetic programming",
• ISSN = "0135-5465?",
• citeseer-isreferencedby = "oai:CiteSeerPSU:95800",
• annote = "The Pennsylvania State University CiteSeer Archives",
• language = "en",
• oai = "oai:CiteSeerPSU:563995",
• rights = "unrestricted",
• URL = "http://www2.ba.aegean.gr/members/tsakonas/Lvov2002.pdf",
• URL = "http://citeseer.ist.psu.edu/563995.html",
• size = "8 pages",
• abstract = "Soft computing methods for result prediction of football games based on fuzzy rules, neural networks and genetic programming techniques, are proposed in the article. The models are taking into account the following features of football teams: difference of infirmity factors; difference of dynamics profile; difference of ranks; host factor; personal score of the teams. Testing shows that the proposed models achieve a satisfactory estimation of the actual game results. The current work concludes with the recommendation of soft-computing techniques as a powerful approach, either for the creation of result prediction models of diverse sport championships, or as effective data extrapolation mechanisms in case of limited available statistics.",
• notes = "Broken Dec 2019 http://www.gmdh.net/ICIM/ not verified",

}

Genetic Programming entries for Athanasios D Tsakonas Georgios Dounias Serhi D Shtovba V Vivdyuk

Citations