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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 8
2281-2285,2297

Ensemble learning method based on adaptive evidential reasoning rule

Lai Weiwen1
He Wei1,2
1. College of Computer Science & Information Engineering, Harbin Normal University, Harbin 150025, China
2. PLA Rocket Force University of Engineering, Xi'an 710025, China
DOI: 10.19734/j.issn.1001-3695.2022.12.0824

Abstract

Current ensemble learning combination strategies have difficulty in accommodating information and explainability of models among base learners. Using evidential reasoning(ER) rules as a combination strategy, the above problems can be solved by involving the results of each base learner as evidence in the integration. However, the evidence parameters of conventional ER rule are single, and it is obviously unreasonable to use the same evidence parameters for different base learner models. This paper proposed an ensemble learning method based on adaptive evidential reasoning(A-ER) rule. This method judged the type of evidence before each evidence fusion and adaptively assigned the different evidence parameters according to different types of evidence. Results from different classification cases show that the proposed method has a higher classification accuracy compared to other methods in the cases. It proves that this method has more reasonable evidence parameter settings and superior interpretability and generalization ability.

Foundation Support

中国博士后科学基金资助项目(2020M683736)
黑龙江省自然科学基金资助项目(LH2021F038)
黑龙江省高等教育教学改革项目(SJGY20210456)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.12.0824
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 8
Section: Algorithm Research & Explore
Pages: 2281-2285,2297
Serial Number: 1001-3695(2023)08-006-2281-05

Publish History

[2023-03-16] Accepted Paper
[2023-08-05] Printed Article

Cite This Article

赖尉文, 贺维. 一种基于自适应证据推理规则的集成学习方法 [J]. 计算机应用研究, 2023, 40 (8): 2281-2285,2297. (Lai Weiwen, He Wei. Ensemble learning method based on adaptive evidential reasoning rule [J]. Application Research of Computers, 2023, 40 (8): 2281-2285,2297. )

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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