Research Article
A Dendritic Neuron Model with Adaptive Synapses Trained by Differential Evolution Algorithm
Table 4
Orthogonal array for parameters of the liver dataset.
| Experimental runs | Parameters (levels) | Accuracy (%) | Branch (3) | F (3) | CR (3) | NP (3) |
| 1 | 6 | 0.3 | 0.3 | 10 | 70.60 4.81 | 2 | 12 | 0.3 | 0.6 | 30 | 73.59 6.66 | 3 | 18 | 0.3 | 0.9 | 60 | 72.17 3.86 | 4 | 18 | 0.6 | 0.3 | 30 | 66.92 6.80 | 5 | 6 | 0.6 | 0.6 | 10 | 71.85 4.75 | 6 | 12 | 0.6 | 0.9 | 60 | 68.33 6.91 | 7 | 12 | 0.9 | 0.3 | 60 | 66.28 7.36 | 8 | 18 | 0.9 | 0.6 | 10 | 68.58 7.74 | 9 | 6 | 0.9 | 0.9 | 30 | 69.61 4.88 |
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