Skip to main content

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
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