Predictions of nuclear charge radii and physical interpretations based on the naive Bayesian probability classifier

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Predictions of nuclear charge radii and physical interpretations based on the naive Bayesian probability classifier

机译：基于Naive Bayesian概率分类器的核电半径和物理解释预测

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Background: The nuclear charge radii provide direct information for the nuclear structures. In recent years, many pioneering researches have been devoted to the nuclear charge radii based on the Bayesian neural networks (BNN) method.

机译：背景：核电半径为核结构提供直接信息。近年来，基于贝叶斯神经网络（BNN）方法，已经致力于核电半导体的许多开创性研究。

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《Physical review, C》 |2020年第1期|共9页
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正文语种 eng
中图分类原子核物理学、高能物理学;
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Predictions of nuclear charge radii and physical interpretations based on the naive Bayesian probability classifier

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