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

Algorithm 1

The training process of ELM.

	Require: Input data matrix , the corresponding target values with D output nodes, the number of hidden neurons S, and activation function, .
	Ensure: the output weights .
(1)	Random select input weights and biases ;
(2)	Calculate hidden matrix by (6);
(3)	Calculate output weights by (7).