Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 6
1724-1727,1764

Adaptive and momentum method for regularized extreme learning machine

Wang Can
Xia Yuanqing
Zou Weidong
School of Automation, Beijing Institute of Technology, Beijing 100081, China
DOI: 10.19734/j.issn.1001-3695.2020.08.0186

Abstract

Aiming at the system instability caused by the uncertainty of the extreme learning machine(ELM) hidden nodes and the problem of overburdening large data calculations, this paper proposed an optimization algorithm based on the adaptive and momentum method(AdaMom). This algorithm constructed a continuously differentiable objective function, and calculated the adaptive learning rate during the gradient descent process, obtained the exponentially weighted average of the product of the adaptive learning rate and the gradient. At last it obtained the hidden layer output weight matrix corresponding to the minimum value of the loss function through iteration. The experimental results show that in the training of the same benchmark data set, the AdaMom-ELM algorithm has very good generalization performance and robustness, which improves the computational efficiency.

Foundation Support

国家重点研发计划资助项目(2018YFB1700400)
国家自然科学基金资助项目(61906015,61836001)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.08.0186
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 6
Section: Algorithm Research & Explore
Pages: 1724-1727,1764
Serial Number: 1001-3695(2021)06-022-1724-04

Publish History

[2021-06-05] Printed Article

Cite This Article

王粲, 夏元清, 邹伟东. 基于自适应动量优化算法的正则化极限学习机 [J]. 计算机应用研究, 2021, 38 (6): 1724-1727,1764. (Wang Can, Xia Yuanqing, Zou Weidong. Adaptive and momentum method for regularized extreme learning machine [J]. Application Research of Computers, 2021, 38 (6): 1724-1727,1764. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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