Nuclear masses in extended kernel ridge regression with odd-even effects

The kernel ridge regression (KRR) approach is extended to include the odd-even effects in nuclear mass predictions by remodulating the kernel function without introducing new weight parameters and inputs in the training network. By taking the WS4 mass model as an example, the mass for each nucleus i...

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Bibliographic Details

Published in:	Physics Letters B
Main Authors:	X.H. Wu, L.H. Guo, P.W. Zhao
Format:	Article
Language:	English
Published:	Elsevier 2021-08-01
Subjects:	Extended kernel ridge regression Nuclear masses Odd-even effects Machine learning
Online Access:	http://www.sciencedirect.com/science/article/pii/S0370269321003270