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The curvilinear coordinates' approach to the smart-designs generation problem

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Języki publikacji
EN
Abstrakty
EN
Purpose: The aim of this paper is to present an alternative approach to the problem of accuracy estimation for smart-designs' class (also named space-filling or intelligent design) by making use of the design’s geometrical properties. Design/methodology/approach: The assumed topographical condition: ‘all design cases have to be on the defined surface' is reversed into a curvilinear coordinate system mapped on this surface. Then a sequence of irregular experimental designs is generated on the surface with various descriptive parameters and sampling from testing function is taken. Next, the identification of a general linear-quadratic model is conducted and various accuracy measures in comparison to a test function are calculated. At last the monotonic correlation analysis between accuracy measures and the design's geometrical properties is conducted. Findings: Significant and strong correlation between the accuracy measures and some of the geometrical properties has been found. Research limitations/implications: The correlations found are a strong suggestion for further research. The future investigations should be provided with various and more complicated testing functions and different topographical conditions. The relations between geometrical properties and accuracy measures need to be identified and their distributions and confidence intervals need to be determined. Practical implications: The results obtained outline the method of the approximation accuracy estimation from geometrical properties of the design. Originality/value: Worked out formulas may be of a significant value for those conducting data mining in technological data warehouses.
Rocznik
Strony
48--51
Opis fizyczny
Bibliogr. 17 poz.
Twórcy
  • Department of Mechanical Engineering, Cracow University of Technology, Al. Jana Pawła II 37, 31-864 Kraków, Poland, pmpietra@mech.pk.edu.pl
Bibliografia
  • [1] Z. Polański, Design of experiment in technology, PWN, Warsaw, 1984 (in Polish).
  • [2] D.C. Montgomery, R.H. Myers, Response surface methodology. Process and product optimization using designed experiments, Wiley, New York, 1995.
  • [3] P.W.M. John, Statistical design and analysis of experiments, SIAM, Philadelphia, 1998.
  • [4] D.C. Montgomery, Design and analysis of experiments, Wiley, New York, 2004.
  • [5] R. Górecka, Z. Polański, Flexible experimental designs integrated with intelligent computational system, In: Computer aided metrology, Cz. Przybysz et al. (eds.), 2 (2001) 17-22 (in Polish).
  • [6] J. Pietraszek, Response surface methodology at irregular grids based on voronoi scheme with neural network approximator. In: Neural Networks and Soft Computing, Rutkowski L., Kacprzyk J. (eds.), Springer-Physica Verlag, Heidelberg, 2003, 250-255.
  • [7] J. Pietraszek, Analysis of two-factor experimental design over irregular grid generated from Voronoi scheme with ANN approximator, Journal of Surface Mining 2-3 (2003) 21-24 (in Polish).
  • [8] A. Skowronek, Analysis of flexible experimental design generation process, Technical Journal 7 (2007) 63-74 (in Polish).
  • [9] A. Skowronek, Optimization the flexible design of experiment, Proceedings of the International Conference “Engineering Optimization EngOpt’2008”, Rio de Janeiro, 2008, 70-71.
  • [10] Z. Polański, Empirical research – methodology and computer aiding, In: Modern metrology, J. Barzykowski (ed.), WNT, Warsaw, 2004, 124-216 (in Polish).
  • [11] R. Dwornicka, J. Pietraszek, Identification of function modelling hardness on the surface of hip joint endoprosthesis, In: The improvement of the quality, reliability and long usage of technical systems and technological processes, A.T. Boroszow, A. Bubulis et al. (eds.), National Council of Ukraine for Mechanism and Machine Design, IFToMM Ukrainian Committee, Khmelnitsky, 2007, 96-100.
  • [12] Z. Michalewicz, Genetic Algorithms + Data Structures = Evolution Programs, Springer-Verlag, Heidelberg, 1996.
  • [13] R. Wieczorkowski, R. Zieliński, Computer generators of random numbers, WNT, Warsaw, 1997 (in Polish).
  • [14] A. Plucińska, E. Pluciński, Probability, WNT, Warszawa, 2000 (in Polish).
  • [15] J. Koronacki, J. Mielniczuk, Statistics for technical students, WNT, Warsaw, 2001 (in Polish).
  • [16] J. Pietraszek, The criterion of homogeneity for space filling experimental design, In: The improvement of the quality, reliability and long usage of technical systems and technological processes, Boroszow A.T., Bubulis A. et al. (eds.), National Council of Ukraine for Mechanism and Machine Design, IFToMM Ukrainian Committee, Khmelnitsky, 2006.
  • [17] P. Grzegorzewski, Decision support at uncertainty. Statistical methods for imprecise data, EXIT Press, Warsaw, 2006 (in Polish).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BSL7-0033-0032
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