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
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;
Conference_Titel :
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location :
Como
Print_ISBN :
0-7695-0619-4
DOI :
10.1109/IJCNN.2000.860811
