Table 4.

Parameter settings for the classifiers and GRSOM algorithm

Algorithms	Parameters
GRSOM	${\mathit{\alpha }}_t=\frac{0.01}{1+0.01(t-1)}$
	$f({\mathit{\sigma }}_t,d(h,k))=exp\left(\frac{-{∥r_h-r_k∥}^2}{2{\mathit{\sigma }}_t^2}\right)$
	${\mathit{\sigma }}_t=0.4{\left(\frac{{10}^{-9}}{0.4}\right)}^{t/1000}$
	$t_{\text{max}}=n-m-N(t=0)$, for GRSOMO
	$t_{\text{max}}=m-N(t=0)$, for GRSOMU
BPN	Learning cycles = 50,000
	Hidden units = 20
SVM	Kernel function = RBF
Committee networks	Number of bootstrap committee members = 31
	Fusion rule = Majority vote