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
|
| 数量 |
需求预测 |
|
| 1 |
85.49 |
| 2 |
90.43 |
| 3 |
73.12 |
| 4 |
80.01 |
| 5 |
76.08 |
| 6 |
89.47 |
| 7 |
73.34 |
| 8 |
81.27 |
| 9 |
89.60 |
| 10 |
74.15 |
| 11 |
78.18 |
| 12 |
90.35 |
| 13 |
87.01 |
| 14 |
82.31 |
| 15 |
70.46 |
| 16 |
74.78 |
| 17 |
80.01 |
| 18 |
86.49 |
| 19 |
76.47 |
| 20. |
77.90 |
| 21 |
83.25 |
| 22 |
83.95 |
| 23 |
85.27 |
| 24 |
73.40 |
| 25 |
69.73 |
| 26 |
88.87 |
| 27 |
90.52 |
| 28 |
90.80 |
| 29日 |
77.06 |
| 30. |
79.81 |
| 31日 |
83.01 |
| 32 |
85.81 |
|
|