Investigation of Nuclear Binding Energy and Charge Radius Based on Random Forest Algorithm
The random forest algorithm was applied to study the nuclear binding energy and charge radius. The regularized root-mean-square of error (RMSE) was proposed to avoid overfitting during the training of random forest. RMSE for nuclides with Z, N>7 is reduced to 0.816 MeV and 0.020 0 fm compared wit...
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| 格式: | Article |
| 語言: | English |
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Editorial Board of Atomic Energy Science and Technology
2023-04-01
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| 叢編: | Yuanzineng kexue jishu |
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| 在線閱讀: | https://www.aest.org.cn/CN/10.7538/yzk.2022.youxian.0780 |