研究文章
旅游需求预测基于自适应神经网络技术在商业智能
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| 数量 |
数据学习 |
|
| 1 |
92.51 |
| 2 |
91.70 |
| 3 |
90.67 |
| 4 |
93.20 |
| 5 |
92.19 |
| 6 |
92.67 |
| 7 |
88.08 |
| 8 |
91.39 |
| 9 |
88.70 |
| 10 |
89.38 |
| 11 |
88.31 |
| 12 |
89.65 |
| 13 |
92.42 |
| 14 |
92.79 |
| 15 |
88.56 |
| 16 |
88.56 |
| 17 |
89.05 |
| 18 |
93.77 |
| 19 |
93.95 |
| 20. |
92.71 |
| 21 |
93.49 |
| 22 |
91.95 |
| 23 |
90.20 |
| 24 |
91.49 |
| 25 |
91.58 |
| 26 |
90.63 |
| 27 |
91.36 |
| 28 |
90.01 |
| 29日 |
90.27 |
| 30. |
90.53 |
| 31日 |
91.16 |
| 32 |
92.01 |
|
|