Reducing the Calibration Points of Multisensors
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F12%3A00198934" target="_blank" >RIV/68407700:21230/12:00198934 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/SSD.2012.6197987" target="_blank" >http://dx.doi.org/10.1109/SSD.2012.6197987</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/SSD.2012.6197987" target="_blank" >10.1109/SSD.2012.6197987</a>
Alternative languages
Result language
angličtina
Original language name
Reducing the Calibration Points of Multisensors
Original language description
Goal of this paper is to develop the method identification of multisensors characteristic curve using neural networks and minimize the number of calibration points required to find an appropriate characteristic curve for the input-to-output relationshipof multisensors. A proposed original method illustrates how to improve the prediction accuracy of calibration results for multisensors despite the high level of random error.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JB - Sensors, detecting elements, measurement and regulation
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
9th International Multi-Conference on Systems, Signals and Devices (SSD)
ISBN
978-1-4673-1589-0
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1-6
Publisher name
IEEE
Place of publication
Piscataway
Event location
Chemnitz
Event date
Mar 20, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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