DocumentCode
352957
Title
Sensor errors prediction using neural networks
Author
Sachenko, A. ; Kochan, V. ; Turchenko, V. ; Golovko, V. ; Savitsky, J. ; Dunets, A. ; Laopoulos, T.
Author_Institution
Res. Lab. of Automated Syst. & Networks, Ternopil Acad. of Nat. Econ., Ukraine
Volume
4
fYear
2000
fDate
2000
Firstpage
441
Abstract
The features of neural networks used for increasing the accuracy of physical quantity measurement are considered by prediction of sensor drift. The technique of data volume increasing for predicting neural network training is offered at the expense of various data types replacement for neural network training and at the expense of the separate approximating neural network use
Keywords
calibration; learning (artificial intelligence); multilayer perceptrons; sensors; accuracy; neural network training; physical quantity measurement; sensor drift; sensor errors prediction; Artificial neural networks; Calibration; Electronic mail; Intelligent sensors; Laboratories; Neural networks; Neurons; Sensor systems; Signal processing; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location
Como
ISSN
1098-7576
Print_ISBN
0-7695-0619-4
Type
conf
DOI
10.1109/IJCNN.2000.860811
Filename
860811
Link To Document