The possibilities of using neural networks to reduce the distortions of the shape of electric pulses when making oscilloscope measurements are considered. A model and parameters of a neural network are proposed, learning parameters are obtained, and the results of a neural network reconstruction of signals are obtained.
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A. V. Kleopin, “The approximation of distortions due to the effect of jitter when measuring pulse rise time using a stroboscopic oscilloscope,” Vest. Metrologa, No. 1, 29–32 (2009).
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Translated from Izmeritel’naya Tekhnika, No. 4, pp. 58–60, April, 2015.
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Kleopin, A.V. Reduction of the Error of Measurements of Pulse Rise Time Using an Artificial Neural Network. Meas Tech 58, 452–455 (2015). https://doi.org/10.1007/s11018-015-0733-z
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DOI: https://doi.org/10.1007/s11018-015-0733-z