Show simple item record

dc.contributor.authorVojtko, J.
dc.date.accessioned2016-04-26T11:03:21Z
dc.date.available2016-04-26T11:03:21Z
dc.date.issued2004-06cs
dc.identifier.citationRadioengineering. 2004, vol. 13, č. 2, s. 30-35. ISSN 1210-2512cs
dc.identifier.issn1210-2512
dc.identifier.urihttp://hdl.handle.net/11012/58049
dc.description.abstractThis article deals with possibilities of reduction of elastomagnetic sensor errors. Elastomagnetic sensors are used for measuring of massive pressure force (of range about 200 kN). At the same time with demands on sensor accuracy, a filter can be added to the measuring set. The function of this filter is to regulate the basic metrological characteristics of sensor in order to achieve the smallest deviation from an ideal transfer characteristic. The using of exactly defined algorithm of reducing sensor errors is not appropriate in this case. So, the unconventional solution is using of the neural networks.en
dc.formattextcs
dc.format.extent30-35cs
dc.format.mimetypeapplication/pdfen
dc.language.isoencs
dc.publisherSpolečnost pro radioelektronické inženýrstvícs
dc.relation.ispartofRadioengineeringcs
dc.relation.urihttp://www.radioeng.cz/fulltexts/2004/04_02_30_35.pdfcs
dc.rightsCreative Commons Attribution 3.0 Unported Licenseen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/en
dc.subjectMeasurementen
dc.subjectelastomagnetic sensoren
dc.subjectneural networken
dc.subjectnon-linearityen
dc.subjecthysteresisen
dc.titleReduction of Elastomagnetic Sensor Errors by Using Neural Networksen
eprints.affiliatedInstitution.facultyFakulta eletrotechniky a komunikačních technologiícs
dc.coverage.issue2cs
dc.coverage.volume13cs
dc.rights.accessopenAccessen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

Creative Commons Attribution 3.0 Unported License
Except where otherwise noted, this item's license is described as Creative Commons Attribution 3.0 Unported License