An integrated PSO for parameter determination and feature selection of ELM and its application in classification of power system disturbances
A new learning method for power system disturbances is introduced using extreme learning machine. Simultaneously optimize the feature subset and model selection for the ELM using PSO. Proposed method can improve convergence accuracy and generalization performance of ELM.
feature selection extreme learning machine wavelet transforms particle swarm optimization