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JACIII Vol.9 No.4 pp. 372-378
doi: 10.20965/jaciii.2005.p0372
(2005)

Paper:

Utilization of Neural Networks for Error Reduction of Elastomagnetic Sensors

Jozef Vojtko*, Irena Kovácová**, Ladislav Madarász***, and Dobroslav Kovác*

*Dept. of Theoretical Electrotechnics and Electrical Measurement, Technical University of Košice, Park Komenského 3, FEI TU, 042 00 Košice, Slovak Republic

**Dept. of Electrical Drives and Mechatronics, Technical University of Košice, Letná 9, FEI TU, 042 00 Košice, Slovak Republic

***Dept. of Cybernetics and Artificial Intelligence, Technical University of Košice, Letná 9, FEI TU, 042 00 Košice, Slovak Republic

Received:
November 4, 2004
Accepted:
February 1, 2005
Published:
July 20, 2005
Keywords:
sensor measurement, elastomagnetic sensor, neural network, time delay, error reduction
Abstract

This paper deals with an elastomagnetic sensor of a pressure output metrological parameter improving to achieve linear sensor output. The designed solution is based on using neural networks as a universal approximator that enables conversion from sensor output to measured force and suppresses error.

Cite this article as:
Jozef Vojtko, Irena Kovácová, Ladislav Madarász, and Dobroslav Kovác, “Utilization of Neural Networks for Error Reduction of Elastomagnetic Sensors,” J. Adv. Comput. Intell. Intell. Inform., Vol.9, No.4, pp. 372-378, 2005.
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Last updated on Sep. 21, 2021