DocumentCode
391403
Title
Advanced sensor data integration using neural networks
Author
Turchenko, V. ; Kochan, V. ; Sachenko, A. ; Koval, V.
Author_Institution
Inst. of Comput. Inf. Technol., Ternopil Acad. of Nat. Economy, Ukraine
Volume
3
fYear
2002
fDate
5-8 Nov. 2002
Firstpage
1876
Abstract
Using neural networks for sensor drift prediction is considered in this paper. There are described basis and advanced methods of "historical" data integration and appropriate models of single-layer and multi-layer perceptrons. Simulation modelling results show an improvement of the accuracy of sensor data processing of advanced method in 2-3 times in comparison with basis method.
Keywords
data acquisition; multilayer perceptrons; sensors; historical data integration; multi-layer perceptrons; neural networks; sensor data integration; sensor data processing; single-layer perceptrons; Artificial neural networks; Calibration; Computer networks; Information technology; Laboratories; Mathematical model; Neural networks; Predictive models; Sensor systems; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
IECON 02 [Industrial Electronics Society, IEEE 2002 28th Annual Conference of the]
Print_ISBN
0-7803-7474-6
Type
conf
DOI
10.1109/IECON.2002.1185257
Filename
1185257
Link To Document