Memetic Extreme Learning Machine

作者：

Highlights：

• We propose a self-adaptive network parameter optimized method for ELM.

• Memetic Algorithm (MA) is used for network parameter optimization.

• We analyze the time complexity and convergence for the proposed method.

• Experiment results on 46 UCI datasets demonstrate the algorithm performance.

摘要

Highlights•We propose a self-adaptive network parameter optimized method for ELM.•Memetic Algorithm (MA) is used for network parameter optimization.•We analyze the time complexity and convergence for the proposed method.•Experiment results on 46 UCI datasets demonstrate the algorithm performance.

论文关键词：Extreme Learning Machine,Self-adaptive,Memetic Algorithm,Evolutionary Machine Learning,Classification

论文评审过程：Received 15 July 2015, Revised 29 March 2016, Accepted 6 April 2016, Available online 4 May 2016, Version of Record 26 May 2016.

论文官网地址：https://doi.org/10.1016/j.patcog.2016.04.003