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
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;
Conference_Titel :
IECON 02 [Industrial Electronics Society, IEEE 2002 28th Annual Conference of the]
Print_ISBN :
0-7803-7474-6
DOI :
10.1109/IECON.2002.1185257
