Table 1 The parameters l and σ of the radial basis function (RBF) kernel determined by gradient descent optimization.

From: A machine learning inversion scheme for determining interaction from scattering

θ

l

σ

ϕ

7.74

1.94 × 10−7

\(\frac{1}{\kappa D}\)

0.922

1.16 × 10−4

\(\ln (\beta A)\)

0.373

1.83 × 10−2

  1. l and σ are used to quantitatively represent the correlation and self-dispersion of the related potential parameters in the vector space of S(Q).
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