Table 2 Simulation parameters for MLP-GA and CPNN-GA forecasting model
From: Estimating stock closing indices using a GA-weighted condensed polynomial neural network
Parameters | Forecasting models | |
|---|---|---|
MLP-GA | CPNN-GA | |
Population size | 60 | 50 |
Gene Size (bit) | 17 | 17 |
Crossover probability (Cp) | 0.6 | 0.5 |
Mutation probability (mc) | 0.02 | 0.05 |
Selection method | Elitism | Elitism |
Max. no. of generation | 300 | 250 |