Utilization of Neural Networks for Error Reduction of Elastomagnetic Sensors

Jozef Vojtko; Irena Kovácová; Ladislav Madarász; Dobroslav Kovác

doi:10.20965/jaciii.2005.p0372

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JACIII Vol.9 No.4 pp. 372-378

doi: 10.20965/jaciii.2005.p0372

(2005)

Paper:

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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:

J. Vojtko, I. Kovácová, L. Madarász, and D. 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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Utilization of Neural Networks for Error Reduction of Elastomagnetic Sensors

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

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