Table 6 Simulated parameters for the forecasting models
From: A chemical-reaction-optimization-based neuro-fuzzy hybrid network for stock closing price prediction
Parameter | CNFN | MLP-CRO | MLP-BP | RBFNN |
|---|---|---|---|---|
Learning Rate (α) | NA | NA | 0.35 | 0.2 |
Momentum Factor (μ) | NA | NA | 0.4 | 0.5 |
No. of iteration for 1st training set | 100 | 150 | 500 | 500 |
No. of iteration for subsequent training | 5 | 5 | 20 | 20 |
Reactant Number | 50 | 50 | NA | NA |
Weight updated/found | CRO | CRO | Gradient descent | Gradient descent |