##plugins.themes.academic_pro.article.sidebar##

Download
pdf
Statistic
Read Counter : 66 Download : 67

##plugins.themes.academic_pro.article.main##

Abstract

This article mainly analyzes the heuristic and statistical methods of building a decision rule, as well as their performance algorithms, and their advantages and disadvantages are extensively analyzed.

Keywords

heuristic statistical methods

##plugins.themes.academic_pro.article.details##

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite
U.U. Turapov. (2022). Analysis of Solver Rule Construction Methods and Their Working Algorithms. Texas Journal of Multidisciplinary Studies, 10, 67–71. Retrieved from https://zienjournals.com/index.php/tjm/article/view/2175

References

  1. I. A. Karimov "Global financial and economic crisis, ways and measures to eliminate it in the conditions of Uzbekistan". Tashkent. "Uzbekistan", 2009.
  2. Adasovsky B.N. To the definition of informativeness of non-parametric features in recognition problems // Cybernetics, 1978, no. 6. pp. 131-133
  3. Adylova Z.T., Umarova D.M. Methods for constructing an informative feature space for managing communication networks in conflict situations // Uzbek journal "Problems of Informatics and Energy", No. 2, 1992. -S. 3-9
  4. Ayvazyan S.A. et al. Classification of multidimensional observations. -M.: Statistics, 1974. - S. 240.
  5. Aleksandrov V.V. and other Application of basic splines in the problems of discretization of multidimensional signals of finite length //Metrology. –2000. -#1. –p.1-4.
  6. Aliev E.M., Akhmetov K., Kamilov M.M. The choice of essential parameters and the system of automatic control of the hydrolysis process / / "Issues of Cybernetics", vol. 46. Tashkent. Institute of Cybernetics with Computing Center of the Academy of Sciences of the Republic of Uzbekistan. 1971.
  7. Barabash Yu.L. and other Questions of the statistical theory of recognition. – M.: Sov. radio, 1967. S. 400.
  8. Braverman E.M., Muchnik I.B. Structural methods for processing empirical data. – M.: Science. 1983. S. 464.
  9. Vasiliev V.I. Designing spaces in the process of learning pattern recognition. Automation, 1982. No. 5. pp. 18-27.
  10. Vasiliev V.I. Training in technical systems. Automation. 1987. No. 5. pp. 26-37.
  11. Gorelik A.L., Skripkin V.A. methods
  12. recognition. M.: Higher school, 1989. S. 208.
  13. Zagoruiko N.G. Recognition methods and their application. M., Publishing House "Soviet Radio", 1972.
  14. Kamilov M.M., Fazylov Sh.Kh., Nishanov A.Kh. Feature Selection Method Using the Fisher-Type Informative Criterion. Uzbek journal "Problems of Informatics and Energy", No. 2, 1992. - p. 9-12.
  15. Kutin G.I. Methods for ranking complexes of features. Review // Foreign radio electronics, 1981, No. 9. pp. 54-70.
  16. Libenson M.N., Khesin A.Ya., Yanson B.A. Automation of television image recognition - M .: Energy, 1975.- 160 s.
  17. Cheponis K.A., Zhvirenayte D.A., Busygin B.S., Miroshenichenko L.V. Methods, criteria and algorithms used in the transformation, selection and selection of features in data analysis. Sat. articles. - Vilnius, 1988. - 150 p.
  18. www.ru.wikipedia.org
  19. www.narod.ru
  20. www.google.ru