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. 2018 Nov 10;18(11):3866. doi: 10.3390/s18113866

Table 4.

Input parameters in the proposed GA–KELM-based algorithm.

Parameters Value
Size of the population for every generation 50
Crossover rate Pc 0.6
Mutation rate Pm 0.05
Number of iterations 1500
Regularization parameter C 6
Kernel function Gaussion kernel
Hyperparameter of kernel 2