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Table 1 Simulated parameter for PSO, GA, GD, and CRO

From: Extreme learning with chemical reaction optimization for stock volatility prediction

ParameterPSOGAGDCRO
Learning Rate (α)/acceleration coefficient (c1, c2)2.15, 2.15NA0.1NA
Momentum Factor (μ)NANA0.3NA
Number of iteration for 1st training set200100500200
Number of iteration for subsequent training set10102010
Population size6070NA60
Crossover probability (Cp)NA0.6NANA
Mutation probability (Cm)NA0.004NANA
Selection
o elitism
o binary tournament
Global best20%
80%
NALower enthalpy/fitness