Computer Science ›› 2016, Vol. 43 ›› Issue (Z6): 77-80.doi: 10.11896/j.issn.1002-137X.2016.6A.017

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Wavelet Kernel Extreme Learning Machine Algorithm Based on Detecting Particle Swarm Optimization

CHEN Xiao-qing, LU Hui-juan, GUAN Wei and ZHENG Wen-bin   

  • Online:2018-12-01 Published:2018-12-01

Abstract: In this paper,the principle of the kernel extreme machine was studied.Wavelet function was chosen to be the extreme learning machine’s kernel function.Experiments show that this algorithm improves the classification accuracy and increases the robustness.Based on this method,we used detecting particle swarm optimization(DPSO) to optimize and set the initial parameters of WKELM in order to obtain the optimal WKELM classifier DPSO-WKELM.We used UCI gene data for simulation.The classification results are compared with the results of radial basis kernel extreme learning machine (KELM) and WKELM.The comparison shows that the proposed algorithm has higher classification accuracy.

Key words: KELM,DPSO,Algorithm optimization,Classification accuracy

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