Football Predictions Based on a Fuzzy Model with Genetic and Neural Tuning

Author:

Rotshtein A. P.,Posner M.,Rakityanskaya A. B.

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Reference21 articles.

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2. S. Markidakis, S. C. Wheelwright, and R. J. Hindman, Forecasting: Methods and Applications, John Wiley and Sons, New York (1998).

3. J. Mingers, “Rule induction with statistical data — a comparison with multiple regression,” Oper. Res. Soc., 38, 347–351 (1987).

4. K.A. Willoughby, “Determinants of success in the CFL: A logistic regression analysis,” in: Proc. Nat. Ann. Meeting to the Dec. Sci., Decision Sci. Inst., Atlanta, USA, 2 (1997), pp. 1026–1028.

5. M. E. Glickman and H. S. Stern, “A state-space model for national football league scores,” J. Amer. Statist. Assoc., 93, 25–35 (1998).

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