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 |
84.98
3.95 |
86.79
2.70 |
85.59
2.81 |
85.78
1.39 |
| BP-DNM |
83.098.52 |
82.0010.62 |
83.0610.51 |
82.0710.36 |
| BPNN1 |
85.94
4.34 |
85.202.66 |
85.04
2.63 |
85.391.61 |
| BPNN2 |
84.123.97 |
85.112.60 |
83.513.41 |
86.13
1.28 |
| BPNN3 |
83.514.64 |
85.482.79 |
84.003.49 |
85.351.18 |
| BPNN4 |
84.164.48 |
86.11
2.15 |
83.5133.30 |
85.091.55 |
|
|