Table 6.

Stochastic configuration networks (SCNs) with key parameters.

Properties	Values
Name:	“Stochastic Configuration Networks”
Version:	“1.0 beta”
L:	hidden node number
W:	input weight matrix
b:	hidden layer bias vector
Beta:	output weight vector
r:	regularization parameter
tol:	tolerance
Lambda:	random weight range
L${}_{max}$:	maximum number of hidden neurons
T${}_{max}$:	maximum times of random configurations
nB:	number of node being added in one loop