A Novel Reformed Reduced Kernel Extreme Learning Machine with RELIEF-F for Classification

Algorithm 2

The training process of Reduced-KELM.

	Require: Training input data matrix , the corresponding target values with D output nodes, and kernel function, k.
	Ensure: the output weights .
(1)	Random select samples from all training observation as support vectors ;
(2)	Calculate reduced hidden matrix by (11);
(3)	Calculate output weights by (12).