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- W2387348523 abstract "An approach to compensating sensor drift based on recurrent neural networks is discussed in the paper. The features of recurrent neural networks will be used to improve the measurement accuracy of sensors and to reduce sensor calibration times by drift prediction. Lots of “congener data” will be integrated into the “real data” to train RNN and predict sensor drift." @default.
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- W2387348523 date "2005-01-01" @default.
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- W2387348523 title "An RNN-Based Approach to Compensating Sensor Drift" @default.
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