RMSE-ELM: Recursive Model Based Selective Ensemble of Extreme Learning Machines for Robustness Improvement

Algorithm 1

Extreme learning machine.

Input: The training set , the activation function , and the number of

hidden nodes .

Steps:

(1) Randomly generate input weights and biases ,

(2) Calculate the hidden layer output matrix .

(3) Calculate the output weight vector .