研究文章
预测在计算机配色的牙科基于GA + BP神经网络
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|
|
|
|
|
|
|
|
|
|
| 66.89667 |
−0.01 |
14.92667 |
0.32 |
0 |
0 |
0.08 |
0 |
| 72.46333 |
−1.33333 |
14.58667 |
0.32 |
0 |
0 |
0 |
0.08 |
| 65.74667 |
1.33 |
19.24333 |
0.16 |
0 |
0.16 |
0.08 |
0 |
| 69.91667 |
1.136667 |
18.86667 |
0.16 |
0 |
0.08 |
0.08 |
0.08 |
| 65.10667 |
1.513333 |
19.40333 |
0.16 |
0.08 |
0 |
0.08 |
0.08 |
| 67.76333 |
0.643333 |
20.15667 |
0.16 |
0.08 |
0.08 |
0 |
0.08 |
| 65.49667 |
1.73 |
20.37333 |
0.16 |
0.08 |
0.08 |
0.08 |
0 |
| 63.86667 |
1.81 |
20.13 |
0.08 |
0 |
0.16 |
0.16 |
0 |
| 65.42 |
1.366667 |
21.55 |
0.08 |
0 |
0.16 |
0.08 |
0.08 |
| 64.71667 |
1.663333 |
18.87333 |
0.08 |
0 |
0.08 |
0.16 |
0.08 |
| 65.76667 |
1.56 |
20.55333 |
0.08 |
0 |
0.08 |
0.08 |
0.16 |
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