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IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4
Sensor Errors Prediction Using Neural Networks
Como, Italy
July 24-July 27
ISBN: 0-7695-0619-4
A. Sachenko, Ternopil Academy of National Economy
V. Kochan, Ternopil Academy of National Economy
V. Turchenkol, Ternopil Academy of National Economy
V. Golovko, Brest Polytechnic Institute
J. Savitsky, Brest Polytechnic Institute
A. Dunets, Brest Polytechnic Institute
T. Laopoulos, Aristotle University of Thessaloniki
The features of neural networks using for increasing of an 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 using.
Citation:
A. Sachenko, V. Kochan, V. Turchenkol, V. Golovko, J. Savitsky, A. Dunets, T. Laopoulos, "Sensor Errors Prediction Using Neural Networks," ijcnn, vol. 4, pp.4441, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4, 2000
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