VISCOELASTIC DOUBLE BEAM SYSTEM STABILITY ANALYSIS USING ARTIFICIAL NEURAL NETWORKS

Ivan Pavlović, Ivan Ćirić, Ratko Pavlović, Miloš Simonović, Vlastimir Nikolić

DOI Number
-
First page
11
Last page
17

Abstract


This paper presents neural networks application and their advantages in estimation and analysis of numerical results obtained from previous research of dynamic stability of double beam system under stochastic loading processes. For determining the bounds of the almost sure stability of the double-beam system, direct Lyapunov method was applied and conventional numerical methods for stability region determination were used. Numerical results obtained by dynamic stability analysis were then used as a training data for artificial neural network (ANN). Application of ANN allows reduced computation time for accurate determination of stability regions, while the main advantage of trained ANN is that it estimates results even in cases where conventional numerical method fails.

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References


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I. Pavlović, I. Ćirić, R. Pavlović, V. Nikolić, "Neural network application in numerical results for dynamic stability analysis of viscoelastic double beam system," in Proceedings of the XII International SAUM Conference on Systems, Automatic Control and Measurements, SAUM 2014, Niš, Republic of Serbia, pp. 286-289, 2014.


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