Evaluating the influence of generation methods on the quality of the smart designs of experiment.

Andrzej Skowronek

Abstrakt

This paper presents results of computer simulation made to evaluate how the quality of the smart designs of experiment depends on the methods of generating. The quality of smart designs was evaluated by comparing the known values of special testing functions simulating the real research object and approximated values predicted by neural networks trained with the sets based on smart designs of experiment. The results suggest the possibility of significant reducing the number of experiments runs using studied smart designs.

Słowa kluczowe: smart design of experiment, experimental research, neural approximation
References

Polański Z., Design of experiment, PWN, Warsaw 1984.

Montgomery C., Design and Analysis of Experiments, 8th edition, John Wiley & Sons, 2012.

Hinkelmann K., Kempthorne O., Design and Analysis of Experiments, Volume 1, Introduction to Experimental Design, 2nd Edition, John Wiley and Sons, 2008.

Hinkelmann K., Kempthorne O., Design and Analysis of Experiments, Volume 2, Advanced Experimental Design, John Wiley and Sons, 2005.

Goos P., Jones B., Optimal Design of Experiments: A Case Study Approach, Wiley 2011.

Polański Z., Empirical research – methodology and computer support (in Contemporary metrology, editor J. Barzykowski), WNT, Warsaw 2004.

Skowronek A., A method of self-adaptation calculating the value of the smart designs of experiment generation’s parameter, Polish Journal of Environmental Studies, Vol. 18, No. 3B, 2009.

Johnson R.A., Bhattacharyya G.K., Statistics: Principles and Methods, 2th Edition, John Wiley and Sons, 2010.

Skowronek A., The smart designs of experiment generated with circular inputs’s ranges, Conference Proceeding of Engineering & Education 2009, Białka Tatrzańska, 4–6 November 2009, Problems Of Modern Techniques In Engineering And Education, 2009.

Pohlheim H., Examples of objective functions (http://www.geatbx.com/download/GEATbx_ObjFunExpl_v38.pdf ‒ 25.02.13).