Research Article
A Dendritic Neuron Model with Adaptive Synapses Trained by Differential Evolution Algorithm
Table 6
Orthogonal array for parameters of the cancer dataset.
| Experimental runs | Parameters (levels) | Accuracy (%) | Branch (3) | F (3) | CR (3) | NP (3) |
| 1 | 9 | 0.3 | 0.3 | 10 | 96.12 1.17 | 2 | 18 | 0.3 | 0.6 | 30 | 96.12 1.65 | 3 | 27 | 0.3 | 0.9 | 60 | 95.80 1.26 | 4 | 27 | 0.6 | 0.3 | 30 | 95.39 1.97 | 5 | 9 | 0.6 | 0.6 | 10 | 96.09 1.64 | 6 | 18 | 0.6 | 0.9 | 60 | 96.19 1.90 | 7 | 18 | 0.9 | 0.3 | 60 | 96.20 2.00 | 8 | 27 | 0.9 | 0.6 | 10 | 95.81 1.55 | 9 | 9 | 0.9 | 0.9 | 30 | 95.84 1.31 |
|
|