Research Article
A Dendritic Neuron Model with Adaptive Synapses Trained by Differential Evolution Algorithm
Table 11
Structures of DE-DMAS and BPNN for the five datasets.
| | Dataset | Method | No. of inputs | No. of branches | No. of outputs | No. of adjusted weights |
| | Iris | DE-DMAS | 4 | 4 | 1 | 33 | | BPNN | 4 | 28 | 1 | 169 |
| | Liver | DE-DMAS | 6 | 12 | 1 | 145 | | BPNN | 6 | 18 | 1 | 145 |
| | Cancer | DE-DMAS | 9 | 9 | 1 | 163 | | BPNN | 9 | 18 | 1 | 199 |
| | Glass | DE-DMAS | 9 | 27 | 1 | 487 | | BPNN | 27 | 45 | 1 | 496 |
| | ACA | DE-DMAS | 14 | 16 | 1 | 449 | | BPNN | 14 | 30 | 1 | 481 |
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