研究文章
神经元树突突触模型与自适应训练的微分进化算法
|
| 模型 |
CV10 |
CV5 |
CV4 |
CV2 |
|
| DE-DMAS |
96.38
2.36 |
96.051.74 |
96.11
1.12 |
95.90
0.70 |
| BP-DNM |
95.712.17 |
96.021.84 |
95.751.64 |
95.701.06 |
| BPNN1 |
91.4811.65 |
92.2611.80 |
96.29
1.67 |
94.291.08 |
| BPNN2 |
96.57
2.51 |
96.28
1.54 |
94.331.52 |
93.712.44 |
| BPNN3 |
93.4512.00 |
95.521.45 |
95.731.35 |
93.5311.54 |
| BPNN4 |
94.0512.53 |
96.30
1.34 |
96.101.75 |
96.07
1.04 |
|
|
