Sensor Errors Prediction Using Neural Networks

@inproceedings{Sachenko2000SensorEP,
  title={Sensor Errors Prediction Using Neural Networks},
  author={Anatoly Sachenko and Volodymyr Kochan and Volodymyr Turchenko and Vladimir A. Golovko and Yury Savitsky and A. Dunets and Theodore Laopoulos},
  booktitle={IJCNN},
  year={2000}
}
In the majority of modern systems of sensor signals processing the measurement error of output sensor signal is normalized, instead of physical quantity. For example, at temperature measurement by sensor Honeywell Pt100 [1] and by unit Hydra 2625А Fluke [2] the errors ratio of the measuring channel elements is more than fifty. The majority of works on sensor signal processing [3, 4, 5] consider the questions which are not connected to increasing of sensor accuracy. The reliable increasing of… CONTINUE READING
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