Yearly nuclide mass data is fitted to improved versions of the Weizsaecker formula. The present attempt at furthering the precision of this endeavour aims to reach beyond just precision, and obtain predictive capability about the "Stability Island" of nuclides. The method is to perform a fit to a recent improved liquid drop model with isotonic shift. The residuals are then fed to a neural network, with a number of "feature" quantities. The results are then discussed in view of their perspective to predict the "Stability Island".
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