Computer-Aided Multiclass Classification of Corn from Corn Images Integrating Deep Feature Extraction

Table 2

Parameters of the models used in the study.

Models	Parameters
mSVM	Cost (C): 1.00
	Regression loss epsilon (Ɛ): 0.10
	Regression cost (C): 1.00
	Complexity bound (v): 0.50 g: auto
	Numerical tolerance: 0.0010
	Iteration limit: 100
	Function: radial basis kernel
BA	Maximum frequency: 2
	Minimum frequency: 0
	Constant.alfa: 0.9
	Constant.gamma: 0.9
	Maximum loudness: 2
	Maximum pulse rate: 1
	Number of solutions: 10
	Maximum number of iterations: 100
WOA	Number of agents: 10
	Maximum number of iterations: 100
	Maximum frequency: 1
	Minimum frequency: 0
	Problem dimension: same as number of features
GWO	Alfa: 0,99
	Beta: 0,01
	Tres: 3
	Number of wolves: 10
	Maximum number of iterations: 100