Table 2 The Euclidean distance between two sigmoid curves varies with the spatial correlation exponent \(\nu _{\perp }\).
From: Machine learning of pair-contact process with diffusion
\(\nu _{\perp }\) | 0.91 | 0.96 | 1.01 | 1.06 | 1.09 | 1.10 | 1.11 |
|---|---|---|---|---|---|---|---|
Euclidean Distance | 0.1320 | 0.1186 | 0.0982 | 0.0746 | 0.0634 | 0.0611 | 0.0599 |
\(\nu _{\perp }\) | 1.31 | 1.26 | 1.21 | 1.16 | 1.13 | 1.12 | |
|---|---|---|---|---|---|---|---|
Euclidean Distance | 0.1980 | 0.1529 | 0.1090 | 0.0732 | 0.0615 | 0.0601 |