Determination of Output Parameters of a Thermoelectric Module using Artificial Neural Networks
DOI:
https://doi.org/10.5755/j01.eee.116.10.884Abstract
Determination of instant dynamic output parameters of thermoelectric module which is worked in any system is very important. Despite of the new methods this process takes a lot of times. In this study, two artificial neural network (ANN) models are designed for the estimation of dynamic output parameters at any desired moment of the thermoelectric modules. MATLAB-ANN tools and an ANN simulator program are used for creating the models. Experimental dynamic output parameters data which obtained from eight different thermal load conditions were used for training the ANN Models. On the designed ANN models which were created to estimate instant dynamic output parameters of the thermoelectric module, the Levenberg-Marquardt (LM) learning algorithm has been used. The results obtained with these ANN models, compared with the experimental data and it was shown in graphs. Ill. 6, bibl. 20, tabl. 1 (in English; abstracts in English and Lithuanian).Downloads
Published
2011-12-06
How to Cite
Ciylan, B. (2011). Determination of Output Parameters of a Thermoelectric Module using Artificial Neural Networks. Elektronika Ir Elektrotechnika, 116(10), 63-66. https://doi.org/10.5755/j01.eee.116.10.884
Issue
Section
AUTOMATION, ROBOTICS
License
The copyright for the paper in this journal is retained by the author(s) with the first publication right granted to the journal. The authors agree to the Creative Commons Attribution 4.0 (CC BY 4.0) agreement under which the paper in the Journal is licensed.
By virtue of their appearance in this open access journal, papers are free to use with proper attribution in educational and other non-commercial settings with an acknowledgement of the initial publication in the journal.
