most citedProviding physics guides in Bayesian neural networks from input layer: case of giant dipole resonance predictions

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nucl-th2020★ 26 cited

Providing physics guides in Bayesian neural networks from input layer: case of giant dipole resonance predictions

Xiaohang Wang, Jun Su, Long Zhu

The Bayesian neural network (BNN) has been applied to evaluate and predict the nuclear data. However, how to provide physics guides in BNN is a key but an open question. In this wo…