Research Article
[Retracted] Marketing Model of Tourism Enterprises Based on New Media Environment
Table 5
The weights and thresholds of each node of the product occupancy neural network model.
| | Input node 1 | Input node 2 | Input node 3 | Input node 4 | Each hidden node threshold | Each hidden node to output node weight | Output node threshold |
| Hidden node 1 | 0.7715 | −0.2137 | −1095 | −1.7885 | 1.2041 | 0.0678 | 0.359 | Hidden node 2 | -0.6666 | 0.0937 | −0.1753 | 5.3667 | −2.1096 | 0.6960 | Hidden node 3 | 0.2009 | −0.0400 | 0.2376 | −6.6978 | −0.8859 | 0.0064 | Hidden node 4 | −0.1036 | −0.1753 | 0.2347 | −5.8509 | −0.0489 | −0.6284 | Hidden node 5 | 0.8188 | 0.0815 | −0.0997 | −4.6836 | −0.9967 | 0.3008 | Hidden node 6 | 0.5705 | 0.5903 | 0.5544 | −3.8890 | −1.2090 | 0.4865 | Hidden node 7 | −0.1396 | 0.1820 | 0.2209 | 1.8453 | 0.3817 | −0.8723 |
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