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Journal
Metrology and Measurement Systems
2016
|
23
|
2
|
Article title
A Monte Carlo-Based Method for Assessing the Measurement Uncertainty in the Training and Use of Artificial Neural Networks
Authors
Rodrigo Coral
,
Carlos A. Flesch
,
Cesar A. Penz
,
Mauro Roisenberg
,
Antonio L.S. Pacheco
Content
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Languages of publication
PL
Abstracts
Keywords
PL
artificial neural networks
measurement system
measurement uncertainty
Monte Carlo method
Nauki Techniczne
Publisher
Polska Akademia Nauk
Journal
Metrology and Measurement Systems
Year
2016
Volume
23
Issue
2
Physical description
Contributors
author
Rodrigo Coral
author
Carlos A. Flesch
author
Cesar A. Penz
author
Mauro Roisenberg
author
Antonio L.S. Pacheco
References
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.oai-journals-pan-pl-90414
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