Simulation of hysteresis loops for a superconductor using neural networks with Kalman filtering
Keywords:
Kalman filtering, neural network, simulation, conductor, hysteresis loopsAbstract
Kalman filtering is used as a learning method for the training of Feed-forward Layered Neural Networks (FLNN) and Recurrent LNNs (RLNN). These networks were applied to the simulation of hysteresis loops obtained by the experiment on a cable-in-conduit superconductors by the test carried out in a cryogenic press [8] . The training and testing patterns were taken from nine selected, characteristic hysteresis loops. The formulated FLNN: 4-4-5-1 gives the computer simulation of higher accuracy than the standard network FLNN: 4-7-5-1 discussed in [5].
References
[1] U. Galvanetto, V. Naumov, V. Palmov, B.A. Schrefler. Analysis of the mechanical behavior of cable-in-conduit superconductors under transverse cyclic loading. Int. J. Comput. Civ. Struct. Eng, 1(2): 1- 10, 2000.
[2] S. Haykin. Neural Networks, A Comprehensive Foundation, 2nd ed. MacMillan College Pub!., Engle-wood Cliffs, NJ,1999.
[3] S. Haykin (ed.). Kalman Filtering and Neural Networks. Wiley, New York, 200l.
[4] A. Krok, Z. Waszczyszyn. Kalman filtering for neural prediction of response spectra from mining tremors. In: T. Burczyński, W. Cholewa, W. Moczulski (eds), Recent Development in Artificial Intelligence Methods, AI METH2004. AI-Meth Series, 157-162, Gliwice, 2004.
[5] M. Lefik. One-dimensional model of cable-in-conduit supercoductors under cyclic loading using artificial neural networks. In: Fusion Engineering and Design. Elsevier Science Volume, 60/ 2, 105- 117, 2002.
[2] S. Haykin. Neural Networks, A Comprehensive Foundation, 2nd ed. MacMillan College Pub!., Engle-wood Cliffs, NJ,1999.
[3] S. Haykin (ed.). Kalman Filtering and Neural Networks. Wiley, New York, 200l.
[4] A. Krok, Z. Waszczyszyn. Kalman filtering for neural prediction of response spectra from mining tremors. In: T. Burczyński, W. Cholewa, W. Moczulski (eds), Recent Development in Artificial Intelligence Methods, AI METH2004. AI-Meth Series, 157-162, Gliwice, 2004.
[5] M. Lefik. One-dimensional model of cable-in-conduit supercoductors under cyclic loading using artificial neural networks. In: Fusion Engineering and Design. Elsevier Science Volume, 60/ 2, 105- 117, 2002.
Published
2022-09-27
Issue
pp. 575-582
Section
Articles
License
Copyright © The Author(s).
This work is licensed under the Creative Commons Attribution 4.0 International CC BY 4.0.
How to Cite
Krok, A. (2022). Simulation of hysteresis loops for a superconductor using neural networks with Kalman filtering. Computer Assisted Methods in Engineering and Science, 13(4), 575-582. https://cames3.ippt.pan.pl/index.php/cames/article/view/883
