Research Article
Exploration of Stock Portfolio Investment Construction Using Deep Learning Neural Network
Table 1
Parameter setting of DL NN model.
| Type | Value |
| Network node | 75% of total points | Initial weight | −0.5∼0.5 | Minimum training rate | 0.9 | Dynamic parameter | 0.6∼0.8 | Allowable error | 0.001∼0.00001 | Number of iterations | 1000 | Sigmoid parameters | 0.9∼1 |
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