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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