Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2014, Article ID 395686, 12 pages
Research Article

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

1School of Information and Engineering, Ocean University of China, Shandong, Qingdao 266000, China
2School of Mechanical and Electrical Engineering, China Jiliang University, Zhejiang, Hangzhou 310018, China
3Department of Mechanical and Industrial Engineering and the Iowa Informatics Initiative, The University of Iowa, Iowa City, IA 52242-1527, USA
4Arcada University of Applied Sciences, 00550 Helsinki, Finland

Received 7 August 2014; Revised 14 September 2014; Accepted 22 September 2014; Published 9 October 2014

Academic Editor: Tao Chen

Copyright © 2014 Bo Han et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [1 citation]

The following is the list of published articles that have cited the current article.

  • Zhu, Zhou, Chen, Song, and Liu, “Rfsen-elm: Selective ensemble of extreme learning machines using rotation forest for image classification,” Neural Network World, vol. 27, no. 5, pp. 499–517, 2017. View at Publisher · View at Google Scholar