Table 1.
Selection of Optimum Number of Neurons based on R.
| No. of neuron | R training | R testing |
|---|---|---|
| 1 | 0.7408 | 0.7518 |
| 2 | 0.7507 | 0.7317 |
| 3 | 0.7985 | 0.7589 |
| 4 | 0.8026 | 0.7764 |
| 5 | 0.7997 | 0.7999 |
| 6 | 0.7926 | 0.8059 |
| 7 | 0.8029 | 0.7932 |
| 8 | 0.8053 | 0.7833 |
| 9 | 0.7946 | 0.8096 |
| 10 | 0.8043 | 0.8147 |
| 11 | 0.7995 | 0.8007 |
| 12 | 0.8102 | 0.8002 |
| 13 | 0.8077 | 0.7958 |
| 14 | 0.8012 | 0.8229 |
| 15 | 0.8024 | 0.8231 |
| 16 | 0.8059 | 0.7992 |
| 17 | 0.8105 | 0.7886 |
| 18 | 0.8101 | 0.7715 |
| 19 | 0.8113 | 0.802 |
| 20 | 0.8088 | 0.784 |
Significant values are in bold.