From: Conformational and functional analysis of molecular dynamics trajectories by Self-Organising Maps
Map size | Lattice type | Shape | Learning algorithm | Neighbour function | Alpha type | Radius | Training length | Starting alpha | Time (s) |
---|---|---|---|---|---|---|---|---|---|
100 | hexagonal | sheet | batch | Gaussian | inverse | 2 | 1000 | 0.01 | 20 |
225 | hexagonal | cylinder | batch | Bubble | power | 3 | 3000 | 0.05 | 125 |
400 | hexagonal | toroid | batch | Ep | linear | 1 | 5000 | 0.09 | 450 |
100 | hexagonal | sheet | sequential | Gaussian | linear | 3 | 1000 | 0.09 | 270 |
225 | hexagonal | cylinder | sequential | Bubble | inverse | 1 | 3000 | 0.01 | 820 |
400 | hexagonal | toroid | sequential | Ep | power | 2 | 5000 | 0.05 | 12000 |
100 | rectangular | cylinder | sequential | Gaussian | linear | 1 | 5000 | 0.05 | 1350 |
225 | rectangular | toroid | sequential | Bubble | inverse | 2 | 1000 | 0.09 | 600 |
400 | rectangular | sheet | sequential | Ep | power | 3 | 3000 | 0.01 | 7700 |
100 | rectangular | toroid | batch | Gaussian | power | 1 | 3000 | 0.01 | 55 |
225 | rectangular | sheet | batch | Bubble | linear | 2 | 5000 | 0.05 | 205 |
400 | rectangular | cylinder | batch | Ep | inverse | 3 | 1000 | 0.09 | 95 |
100 | hexagonal | toroid | sequential | Bubble | power | 1 | 1000 | 0.05 | 290 |
225 | hexagonal | sheet | sequential | Ep | linear | 2 | 3000 | 0.09 | 1800 |
400 | hexagonal | cylinder | sequential | Gaussian | inverse | 3 | 5000 | 0.01 | 12800 |
100 | rectangular | toroid | sequential | Bubble | inverse | 3 | 3000 | 0.09 | 600 |
225 | rectangular | sheet | sequential | Ep | power | 1 | 5000 | 0.01 | 2500 |
400 | rectangular | cylinder | sequential | Gaussian | linear | 2 | 1000 | 0.05 | 2800 |
100 | rectangular | sheet | sequential | Bubble | linear | 3 | 5000 | 0.01 | 1400 |
225 | rectangular | cylinder | sequential | Ep | inv | 1 | 1000 | 0.05 | 650 |
400 | rectangular | toroid | sequential | Gaussian | power | 2 | 3000 | 0.09 | 8500 |
100 | rectangular | cylinder | batch | Bubble | power | 2 | 5000 | 0.09 | 85 |
225 | rectangular | toroid | batch | Ep | linear | 3 | 1000 | 0.01 | 40 |
400 | rectangular | sheet | batch | Gaussian | inverse | 1 | 3000 | 0.05 | 300 |
100 | hexagonal | cylinder | batch | Ep | power | 2 | 1000 | 0.01 | 17 |
225 | hexagonal | toroid | batch | Gaussian | linear | 3 | 3000 | 0.05 | 140 |
400 | hexagonal | sheet | batch | Bubble | inverse | 1 | 5000 | 0.09 | 450 |
100 | hexagonal | cylinder | batch | Ep | linear | 1 | 3000 | 0.09 | 50 |
225 | hexagonal | toroid | batch | Gaussian | inverse | 2 | 5000 | 0.01 | 230 |
400 | hexagonal | sheet | batch | Bubble | power | 3 | 1000 | 0.05 | 90 |
100 | hexagonal | toroid | sequential | Ep | inverse | 3 | 5000 | 0.05 | 1400 |
225 | hexagonal | sheet | sequential | Gaussian | power | 1 | 1000 | 0.09 | 630 |
400 | hexagonal | cylinder | sequential | Bubble | linear | 2 | 3000 | 0.01 | 7600 |
100 | rectangular | sheet | batch | Ep | inverse | 2 | 3000 | 0.05 | 49 |
225 | rectangular | cylinder | batch | Gaussian | power | 3 | 5000 | 0.09 | 236 |
400 | rectangular | toroid | batch | Bubble | linear | 1 | 1000 | 0.01 | 80 |