Tytuł artykułu
Autorzy
Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Konferencja
Problemy dynamiki konstrukcji / XIII Sympozjum Dynamiki Konstrukcji (XIII ; 25-27 września 2008 ; Rzeszów-Bystre, Polska)
Języki publikacji
Abstrakty
This paper presents the application of Bayesian Neural Networks (BNN) in the identification of parameters of a load causing partial yielding of a cross-section of a portal frame. As the source of the data in the identification procedure the eigenfrequencies and eigenvectors are used. The applied BNN are either of SSN/MAP (Maximum A Posteriori) or of T-BNN (True Bayesian Neural Networks) type, the results are compared with the results of the identification performed using Standard Neural Networks (SNN).
Rocznik
Tom
Strony
257--262
Opis fizyczny
Bibliogr. 10 poz., rys., tab., wykr.
Twórcy
autor
- Katedra Mechaniki Konstrukcji, Politechnika Rzeszowska, ul. W. Pola 2, 35-959 Rzeszów, bartosz.miller@prz.edu.pl
Bibliografia
- [1] W.F. Chen, DJ. Han, Plasticity for structural engineers. Springer-Verlag, New York/Berlin/Heidelberg, 1988.
- [2] M.M. Moran, Change of dynamic characteristics due to plastification. Computational Plasticity. Fundamentals and Applications, Pineridge Press - CIMNE, Swansea -Barcelona, 1967-1997, 1995.
- [3] B. Miller, G. PiajJcowski, L. Ziemianski, Beam yielding load identification by neural networks, GAMES, 6:449-467, 1999.
- [4] B. Miller, L. Ziemiański, The identification of the load causing partial yielding in a beam on the basis of the dynamic characteristics, CMM-2005, Cz?stochowa, 2005.
- [5] S. Haykin, Neural networks. A comprehensive foundation, Prentice Hall, Upper Saddle River, 2 wydanie, 1999.
- [6] Z. Waszczyszyn, L. Ziemianski, Neural Networks in Mechanics of Structures and Materials - New Results and Prospects of Applications. Computers&Structures 79:2261-2276, 2001.
- [7] Z. Waszczyszyn, M. Stonski, B. Miller, G. Piajtkowski, Bayesian Neural Networks in the Regression Analysis of Structural Mechanics Problems. WCCM8, Venice, 2008.
- [8] Ch.M. Bishop, Pattern Recognition and Machine Learning. Springer, 2006
- [9] Z. Waszczyszyn, Bayesowskie sieci neuronowe w analizie problemów regresji, XIII SDK, Zeszyty Naukowe Politechniki Rzeszowskiej, 258(74), 2008.
- [10] ADINA, Theory and modeling guide. AdinaR&D Inc. 1992.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-PWA7-0027-0029