Список литературы. 
Предсказательное метамоделирования и интеллектуальный анализ данных

1. Bernstein A., Kuleshov A., Sviridenko Yu. and Vyshinsky V. Fast Aerodynamic Model for Design Technology // Proceedings of West-East High Speed Flow Field Conference. Nov. 19−22, Moscow, Russia. 2007. http://wehsff.imamod.ru/pages/s7.htm.

2. Bernstein A. and Kuleshov A. Mathematical Methods in Engineering Cognitive Technologies // Survey in Applied and Industrial Mathematics, Ser. «Probability and Statistics». 2008. № 15(3), 451 — 452.

3. Bernstein A. and Kuleshov A. Construction of orthogonal non-linear manifolds in the problem of dimension reduction // Proceedings of VII-th International School-Seminar «Multivariate statistical analysis and Econometrics. 21−30 September, 2008, Tsahkadzor (Republic of Armenia)». Central Economics and Mathematics Institute of RAS, Moscow, 2008. 25−27.

4. Bernstein A. and Kuleshov A. Dimension reduction problem with explanatory variables (predicates) // Information Processes. Electronic Scientific Journal http://www.jip.ru/Contents.htm, 2008. № 8(1), 47−57.

5. Bernstein A. and Kuleshov A. Cognitive technologies in the problem of dimension reduction of geometrical object descriptions // Information technologies and computer systems, 2008. № 2, 6−19.

6. Bernstein A., Burnaev E. and Kuleshov A. On a methodology for constructing approximations of multidimensional dependences. In Plenary and Selected Papers of the Fourth International Conference «Parallel Computations and Control Problems», October 27−29, 2008, Moscow, Russia. 56−62.

7. Bernstein A., Burnaev E. and Kuleshov A. Intellectual Data Analysis in Metamodeling. Proceedings of XVII All-Russian Seminar «Neuroinformatics and its applications to Data Analysis (Krasnoyarsk, October 2 — 4, 2009), 2009. 23 — 28.

8. Bernstein A. and Kuleshov A. Cognitive Technologies for Data and Knowledge Application. // Survey in Applied and Industrial Mathematics, Ser. «Probability and Statistics». 2009. № 16(5).

9. Bernstein A. Approximation of dependencies as a Dimension reduction problem // Survey in Applied and Industrial Mathematics, Ser. «Probability and Statistics». 2009. № 16(5).

10. Bernstein A. and Burnaev E. Invariant approximation and its application for integration of data-domain knownledge into metamodels // Proceedings of 9th International Conference Computer Data Analysis and Modeling: Complex Stochastic Data and Systems, September 7−11, Minsk, Belarus, 2010.

11. Bernstein A., Burnaev E., Belyaev M. and Prihodko P. Dimension reduction as a part of function approximation problem // Proceedings of 9th International Conference Computer Data Analysis and Modeling: Complex Stochastic Data and Systems, September 7−11, Minsk, Belarus, 2010.

12. Burnaev, E., Grihon, S. Construction of the Metamodeles in Support of Stiffened Panel Optimization. Extended abstracts of VI International Conference «Mathematical Methods in Reliability. Theory. Methods. Applications» (MMR-2009), Moscow 22−29 June, 2009, p. 124 — 128.

13. Burnaev E., Belyaev M. and Prihodko P. Approximation of multidimensional dependency based on an expansion in the parametric functions from the dictionary// Proceedings of 9th International Conference Computer Data Analysis and Modeling: Complex Stochastic Data and Systems, September 7−11, Minsk, Belarus, 2010.

14. Burnaev E., Belyaev M. and Lokot A. Model selection in function approximation problem based on statistical learning theor // Proceedings of 9th International Conference Computer Data Analysis and Modeling: Complex Stochastic Data and Systems, September 7−11, Minsk, Belarus, 2010.

15. Burnaev E. and Prihodko P. Clustering in dimension reduction for function approximation problem // Proceedings of 9th International Conference Computer Data Analysis and Modeling: Complex Stochastic Data and Systems, September 7−11, Minsk, Belarus, 2010.

16. Chernova S. and Ivanova E. Reduction of complex geometrical object dimension in the presence of particular parametric models. // Artificial Intelligence and Decision Making, 2009. № 3, 53 — 58.

17. Forrester A.I.J., Sobester A. and Keane A.J. Engineering Design via Surrogate Modelling. A Practical Guide. Wiley, New-York, 2008.

18. Kuleshov A. Cognitive technologies in adaptive models of complex objects // Information technologies and computer systems, 2008. № 1.

19. Kuleshov A. The problems of multivariate statistical analysis in computer design systems. // Proceedings of VII-th International School-Seminar «Multivariate statistical analysis and Econometrics. 21−30 September, 2008, Tsahkadzor (Republic of Armenia)», Central Economics and Mathematics Institute of RAS, Moscow, 2008. 60 — 61.

20. Kuleshov A. and Bernstein A. Cognitive technologies in adaptive models of complex plants. // Keynote papers of 13^th IFAC Symposium on Information Control Problems in Manufacturing (INCOM'09), June 3 — 5, Moscow. 2009. 70 — 81.

21. Mitchel, T. Machine Learning. McGrow Hill, New-York, 1997.

22. Vapnik, V.N. Statistical Learning Theory. Wiley, New-York, 1998.

23. Vapnik, V.N. The Nature of Statistical Learning Theory. Springer, New-York, 2000.

24. Wang G. and Gary Shan S. Review of Metamodeling Techniques in Support of Engineering Design Optimization // J. Mech. Des. 2007. № 129(3), 370−381.