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Network: Computation in Neural Systems Volume 29, 2018 - Issue 1-4
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Articles

A fast kernel extreme learning machine based on conjugate gradient

Chunmei HeCollege of Information Engineering, Xiangtan University, Xiangtan, China;College of Computer Science and Engineering, NUST, Nanjing, ChinaCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-5722-852XView further author information
ORCID Icon,
Fanhua XuCollege of Information Engineering, Xiangtan University, Xiangtan, ChinaView further author information
,
Yaqi LiuCollege of Information Engineering, Xiangtan University, Xiangtan, ChinaView further author information
&
Jinhua ZhengCollege of Information Engineering, Xiangtan University, Xiangtan, ChinaView further author information
Pages 70-80 | Received 19 Aug 2018, Accepted 17 Dec 2018, Published online: 27 Jan 2019

References

  • Chorowski Jan, Jacek M. Zurada. 2014. Review and performance comparison of SVM- and ELM-based classifiers [J]. Neurocomputing. 128:507–516. doi:10.1016/j.neucom.2013.08.009
  • Cortes C, Vapnik V. 1995. Support vector networks [J]. Mach Learn. 20:273–297. doi:10.1007/BF00994018
  • Deng WY, Zheng QH, Chen L, Xu XB. 2010. Research on extreme learning of neural network [J]. Chin J Comput. 33(2):279–287. doi:10.3724/SP.J.1016.2010.00279
  • Ding S-F, Zhang N, Shi Z-Z. 2016. Laplacian multi layer extreme learning machine [J]. J Software. doi:10.13328/j.cnki.jos.005128
  • Frénay B, Verleysen M. 2010. Using SVMs with randomized feature spaces: an extreme learning approach. In: Proceedings of the 18th European Symposium on Artificial Neural Networks, Bruges, Belgium; vol. 28, p. 30.
  • Frénay B, Verleysen M. 2011. Parameter- insensitive kernel in extreme learning for non-linear support vector regression. Neurocomputing. 74:2526–2531. doi:10.1016/j.neucom.2010.11.037
  • Haykin S. 1999. Neural networks: a comprehensive foundation [M]. 2nd Edition, USA, New Jersey: Prentice Hall.
  • Huang GB, Zhou H, Ding X. 2012. Extreme learning machine for regression and multiclass classification[J]. IEEE T Syst Man & Cy B Cy A. 42(42):513–529. doi:10.1109/TSMCB.2011.2168604
  • Huang GB, Zhu QY, Siew CK. 2006. Extreme learning machine: theory and applications [J]. Neurocomputing. 70:489–501. doi:10.1016/j.neucom.2005.12.126
  • Le-le C, Wen-Bing H, Fu-Chun S. 2016. Building feature space of extreme learning machine with sparse denoising stacked-autoencoder[J]. Neurocomputing. 174:60–71. doi:10.1016/j.neucom.2015.02.096
  • Li X. 2014. KELM theory and algorithms and applications in image processing [D]. China: Zhejiang University.
  • Miche Yoanvan Heeswijk Mark Bas,Olli Simula, Amaury Lendasse. 2011. TROP-ELM:A double-regularized ELM using LARS and tikhonov regularization[J]. Neurocomputing. 74:2413–2421. doi:10.1016/j.neucom.2010.12.042
  • Qi Y, Heeswijk M, Miche Y. 2014. Ensemble delta test-extreme learning machine (DT-ELM) for regression[J]. Neurocomputing. 129:153–158. doi:10.1016/j.neucom.2013.08.041
  • Qiuge L, Qing H, Shi Z. 2008. Extreme support vector machine classifier. In: Proceedings of the 12th Pacific–Asia Conference on Advances in Knowledge Discovery and Data Mining; Springer-Verlag, Osaka, Japan. p. 222–233.
  • Weizhong Y. 2016. One-class extreme learning machines for gas turbine combustor anomaly detection[C]. In: 2016 International Joint Conference on Neural Networks, Vancouver, Canada; p. 2909–2914.
  • Yakoub B, Naif A, Farid M, Haikel A, Salim M, Ronald R. Y. 2014. Differential evolution extreme learning machine for the classification of hyperspectral images[J]. IEEE Geosci Remote Sens Lett. 11(6):1066–1070. doi:10.1109/LGRS.2013.2286078

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