Using Artificial Neural Network in Nuclear Spin Echo Experiments


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The possibility of using an artificial neural network for discriminating nuclear spin echo signals recorded under conditions where the echo signal intensity is comparable to the noise amplitude is demonstrated. It is proposed to teach the neural network using data obtained by superposition of the model Gaussian signals onto experimentally measured noise signals.

作者简介

S. Polulyakh

V.I. Vernadsky Crimean Federal University

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Email: sergey.polulyakh@cfuv.ru
俄罗斯联邦, Simferopol, Republic of Crimea, 295007

A. Gorbovanov

V.I. Vernadsky Crimean Federal University

Email: sergey.polulyakh@cfuv.ru
俄罗斯联邦, Simferopol, Republic of Crimea, 295007

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