Utilization of Neural Networks for Error Reduction of Elastomagnetic Sensors | Zendy

Jozef Vojtko | Zendy; Irena Kováčová | Zendy; L. Madarász | Zendy; Dobroslav Kováč | Zendy

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Utilization of Neural Networks for Error Reduction of Elastomagnetic Sensors

Author(s) -

Jozef Vojtko,

Irena Kováčová,

L. Madarász,

Dobroslav Kováč

Publication year - 2005

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2005.p0372

Subject(s) - computer science , artificial neural network , reduction (mathematics) , pressure sensor , metrology , control theory (sociology) , artificial intelligence , mathematics , statistics , engineering , control (management) , mechanical engineering , geometry

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.

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