350 руб
Журнал «Нейрокомпьютеры: разработка, применение» №8 за 2013 г.
Статья в номере:
Нейрокомпьютинг в новой науке о спорте
Авторы:
Ю.Ю. Петрунин - д.филос.н., профессор, факультет государственного управления, Московский государственный университет им. М.В. Ломоносова. E-mail: petrunin@spa.msu.ru
Аннотация:
Проанализированы приложения теории искусственных нейронных сетей (ИНН) в новой науке о спорте. Классифицированы задачи спортивного нейрокомпьютинга: прогнозирование результатов состязаний, обнаружение «договорных матчей», анализ и моделирование игровой тактики, анализ эволюции спортивных игр. Дана оценка результатов использования различных моделей ИНН (MLP, RBF, PNN, GRNN, SOM, DyCON) в спорте. Выделены тенденции развития и показаны перспективы развития спортивного нейрокомпьютинга.
Страницы: 66-71
Список источников

  1. Grunz A., Memmert D., Perl J. Tactical pattern recognition in soccer games by means of special self-organizing maps // Human Movement Science. 2011.
  2. Blaikie A. D., David J.A., Abud G.J., Pasteur R.D. NFL & NCAA Football Prediction using Artificial Neural Networks // Proceedings of the 2011 Midstates Conference on Undergraduate Research in Computer Science and Mathematics.
  3. Петрунин Ю.Ю. Информационные технологии анализа данных. Data Analysis. М. 2010.
  4. Van Calster B., Smits T., Van Huffel S. The Curse of Scoreless Draws in Soccer: The Relationship with a Team-s Offensive, Defensive, and Overall Performance // Journal of Quantitative Analysis in Sports. 2008. V. 1. № 4. Article 4.
  5. McCullagh J. Data Mining in Sport: A Neural Network Approach // International Journal of Sports Science and Engineering. 2010. V. 4. № 3.
  6. Santos J.M.S., Pazos A.B.P., Sierra A.P. Team performance in professional basketball: an approach based on neural networks and genetic programming // XIII IASE and III ESEA conference of sports. Prague. May 2011.
  7. Smith L., Downey J. Predicting Baseball Hall of Fame Membership using a Radial Basis Function Network //  Journal of Quantitative Analysis in Sports. 2009. V. 5. № 1.
  8. Loeffelholz B., Bednar E., Bauer K.W. Predicting NBA Games Using Neural Networks // Journal of Quantitative Analysis in Sports. 2009. V. 5. № 1.
  9. Hematinezhad M., Gholizadeh M.H., Ramezaniyan M., Shafiee S., Zahe A.G. Predicting the success of nations in Asian games using neural network // Sport SPA. V. 8. № 1.
  10. Balla R.K. Soccer Match Result Prediction using Neural Networks (CS534 Project Report). Date: 06.08.07.
  11. Rotshtein A.P., Posner M., Rakityanskaya A.B. Football Predictions Based on a Fuzzy Model with Genetic and Neural Tuning // Cybernetics and Systems Analysis Journal. 2005. V. 41. № 4.
  12. Silva A., et al. The use of neural network technology to model swimming performance // Journal of Sports Science and Medicine. 2007. № 6.
  13. Rotshtein A., Posner M., Rakytyanska H. Prediction of the results of football games based on fuzzy model with genetic and neuro tuning // Easterneuropean journal of enterprise technologies. 2003. № 2(2).
  14. Tsakonas A., Dounias G., Shtovba S., Vivdyuk V. Soft Computing-Based Result Prediction of Football Games // Proc. Of the First International Conf. on Inductive Modelling ICIM'2002. Lviv. Ukraine. 20-25 May 2002. V. 3.
  15. Young II W.A., Holland W.S., Weckman G.R. Determining Hall of Fame Status for Major League Baseball Using an Artificial Neural Network // Journal of Quantitative Analysis in Sports. 2008. V. 4. № 4.
  16. Ivanković Z., Racković M., Markoski B., Radosav D., Ivković M. Appliance of Neural Networks in Basketball Scouting // Acta Polytechnica Hungarica. 2010. V. 7. № 4.
  17. Петрунин Ю.Ю. Анализ футбольной результативности: от классических методов к нейросетевым // Нейрокомпьютеры: разработка, применение. 2010. № 8. С. 54-63.
  18. Цаконас А.Д., Дуніас Г.Д., Штовба С.Д. Прогнозування результатів футбольних матчів за допомогою машини опорних векторів // Вісник Житомирського інженерно-технологічного інститута. 2003. № 1.
  19. Штовба С.Д., Вивдюк В.В. Прогнозирование результатов футбольных матчей на основе нечетких правил // Вестник молодых ученых. 2002. Серия: экономические науки. 2002. № 1. C. 29.
  20. The World Commission of Science and Sports (WCSS http://www.wcss.org.uk/
  21. World Commission of Science and Football (WCSF) http://www.footballexchange.co.uk/about-us/world-commission-of-science-and-football/
  22. Морган У. Философия спорта: Исторический и концептуальный обзор и оценка ее будущего // Логос. 2006. № 3.
  23. Lamb P.F. The use of self-organizing maps in analyzing multi-dimensional human movement coordination. PhD Thesis. University of Otago. New Zealand. 2010.
  24. Perl J. Neural network-based process analysis in sport // InJ.R.R. Dopico, J. Dorado de la Calle& A.P. Sierra (Eds.). Encyclopedia of artificial intelligence. 2008. III.
  25. Jäger J., Per J., & Schöllhorn W. Analysis of players? configurations by means of artificial neural networks // International Journal of Performance Analysis of Sport. 2007. V. 3.
  26. Pfeiffer M., & Perl J. Analysis of tactical structures in team handball by means of artificial neural networks // International Journal of Computer Science in Sport. 2006. V. 5.
  27. Grunz A., Memmert D., & Perl J. Analysis and Simulation of Actions in Games by Means of Special Self-Organizing Maps. International Journal of Computer Science in Sport. 2009. V. 8.
  28. Memmert D. & Perl J. Game Creativity Analysis by Means of Neural Networks // Journal of Sport Science. 2009. 27.
  29. Memmert D. & Perl J. Analysis and Simulation of Creativity Learning by Means of Artificial Neural Networks // Human Movement Science. 2009. 28.
  30. Perl J., Memmert D., Bischof J. & Gerharz Ch. On a First Attempt to Modelling Creativity Learning by Means of Artificial Neural Networks // International Journal of Computer Science in Sport. 2006. № 5(2).
  31. Memmert D. & Perl J. Analysis of Game Creativity Development by Means of Continuously Learning Neural Networks. In E.F. Moritz & S. Haake (Eds.) // The Enginieering of Sport. New York: Springer. 2006. V. 3. № 6.
  32. Memmert D. & Perl J. Game Intelligence Analysis by Means of a Combination of Variance-Analysis and Neural Networks // International Journal of Computer Science in Sport. 2005. № 4(1).
  33. Perl J. Artificial Neural Networks in Sports: New Concepts and Approaches // International Journal of Performance Analysis in Sport. 1 July 2001. V. 1. № 1.
  34. Bartlett R. Artificial intelligence in sports biomechanics: New dawn or false hope - // Journal of Sports Science and Medicine. 2006. № 5. Р. 474-479. The 8th Australasian Conference on Mathematics and Computers in Sport. Queensland, Australia. 3-5 July 2006.
  35. Science and Soccer // Ed. by T. Reilly. First edition 1996; Spon Press is an imprint of the Taylor & Francis Group.
  36. Wesson J. The Science of Soccer. The Institute of Physics. London. Institute of Physics. Dirac House. Temple Back. Bristol. First edition 1998.