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 1Input node 2Input node 3Input node 4Each hidden node thresholdEach hidden node to output node weightOutput node threshold

Hidden node 10.7715−0.2137−1095−1.78851.20410.06780.359
Hidden node 2-0.66660.0937−0.17535.3667−2.10960.6960
Hidden node 30.2009−0.04000.2376−6.6978−0.88590.0064
Hidden node 4−0.1036−0.17530.2347−5.8509−0.0489−0.6284
Hidden node 50.81880.0815−0.0997−4.6836−0.99670.3008
Hidden node 60.57050.59030.5544−3.8890−1.20900.4865
Hidden node 7−0.13960.18200.22091.84530.3817−0.8723