Replacing neural-network activation functions with physics-based ones, plus soft Garvey-Kelson and bound constraints, cuts extrapolation error for nuclear masses from 1173 keV to 396 keV on the outermost measured nuclei.
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Robust extrapolation using physics-related activation functions in neural networks for nuclear masses
Replacing neural-network activation functions with physics-based ones, plus soft Garvey-Kelson and bound constraints, cuts extrapolation error for nuclear masses from 1173 keV to 396 keV on the outermost measured nuclei.