The memory degradation based online sequential extreme learning machine

Quanyi Zou, Xiao-Jun Wang, Changjun Zhou, Qiang Zhang

Abstract: Highlights•To improve the accuracy and the generalization of FOS-ELM, the MDOS-ELM is proposed.•A self-adaptive memory factor is applied to adjust the weight of the old and the new samples.•The self-adaptive memory factor is determined by two elements.•One is the similarity between the new and the old samples.•The other is the prediction errors of the current training samples on the previous model.