物理学报2023，Vol.72Issue(15)：27-35,9.DOI:10.7498/aps.72.20230530
基于决策树方法的奇A核基态自旋预测
Prediction of ground-state spin in odd-A nuclei within decision tree
摘要
关键词
基态自旋/奇A核/机器学习/决策树Key words
ground-state spin/odd-A nuclei/machine learning/decision tree引用本文复制引用
温湖峰,尚天帅,李剑,牛中明,杨东,薛永和,李想,黄小龙..基于决策树方法的奇A核基态自旋预测[J].物理学报,2023,72(15):27-35,9.基金项目
吉林省自然科学基金(批准号:20220101017JC)、国家自然科学基金(批准号:11675063,11875070,11935001)、核数据重点实验室(批准号:JCKY2020201C157)和安徽省项目(批准号:Z010118169)资助的课题.Project supported by the Natural Science Foundation of Jilin Province,China(Grant No.20220101017JC),the National Natural Science Foundation of China(Grant Nos.11675063,11875070,11935001),the Key Laboratory of Nuclear Data Foundation,China(Grant No.JCKY2020201C157),and the Anhui Project,China(Grant No.Z010118169). （批准号:20220101017JC）
