Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 4
997-1000

Parallel ensemble learning method based on resource allocating networks for small dataset

Zhang Anguo1
Zhang Shuxun2,3,4
Zhu Wei1
Li Xiumin5
Huang Jinlong6
1. Research Institute of Ruijie, Ruijie Networks Co, Ltd, Fuzhou 350002, China
2. Xinjiang Technical Institute of Physical & Chemical, Chinese Academy of Sciences, Urumqi 830011, China
3. University of Chinese Academy of Sciences, Beijing 100049, China
4. Xinjiang Laboratory of Minority Speech & Language Information Processing, Urumqi 830011, China
5. College of Automation, Chongqing University, Chongqing 400044, China
6. Yangzte Normal University, Chongqing 408100, China
DOI: 10.19734/j.issn.1001-3695.2017.10.0984

Abstract

To design a training model with stable computational performance and high accuracy which is applied on a small training dataset, this paper proposed a resource allocating networks with extended Kalman filter(RANEKF) based parallel ensemble learning algorithm. The learning system is composed of multiple RANEKF units, and the unit inputs are produced by the original dataset with random initialized weights. The experiment results conducted on a small dataset show that the novel model outperforms the ensemble learning systems constructed by the other artificial neural networks in terms of the computational accuracy and stability.

Foundation Support

重庆市自然科学基金资助项目(2016jcyjA0015)
重庆市涪陵区科技计划项目(FLKJ2015ABB1099)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.10.0984
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 4
Section: Algorithm Research & Explore
Pages: 997-1000
Serial Number: 1001-3695(2019)04-009-0997-04

Publish History

[2019-04-05] Printed Article

Cite This Article

张安国, 张树勋, 朱巍, 等. 基于资源分配网络的小数据集并行集成学习方法 [J]. 计算机应用研究, 2019, 36 (4): 997-1000. (Zhang Anguo, Zhang Shuxun, Zhu Wei, et al. Parallel ensemble learning method based on resource allocating networks for small dataset [J]. Application Research of Computers, 2019, 36 (4): 997-1000. )

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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