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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 10
2896-2903

Research progress of fuzzy multiple kernel support vector machine

Dai Xiaolu
Wang Tinghua
Hu Zhenwei
School of Mathematics & Computer Science, Gannan Normal University, Ganzhou Jiangxi 341000, China
DOI: 10.19734/j.issn.1001-3695.2021.01.0035

Abstract

Fuzzy multiple kernel support vector machine(SVM) combines fuzzy SVM with multiple kernel learning(MKL) method which effectively reduces the sensitivity to noises and learning difficulty with the multi-source and heterogeneous data of the traditional SVM model by utilizing membership functions and combinations of multiple kernel functions. Fuzzy multiple kernel SVM has been widely applied in the pattern recognition and artificial intelligence community. This paper summarized the theoretical basis of fuzzy multiple kernel SVM and its current research status. Specifically, this paper were comprehensively reviewed the key problems of the fuzzy multiple kernel SVM, i. e., the design of fuzzy membership functions and MKL methods. Finally, this paper prospected the future research of fuzzy multiple kernel SVM.

Foundation Support

国家自然科学基金资助项目(61966002,62041210)
赣南师范大学研究生创新基金资助项目(YCX20A019)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.01.0035
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 10
Section: Survey
Pages: 2896-2903
Serial Number: 1001-3695(2021)10-003-2896-08

Publish History

[2021-10-05] Printed Article

Cite This Article

戴小路, 汪廷华, 胡振威. 模糊多核支持向量机研究进展 [J]. 计算机应用研究, 2021, 38 (10): 2896-2903. (Dai Xiaolu, Wang Tinghua, Hu Zhenwei. Research progress of fuzzy multiple kernel support vector machine [J]. Application Research of Computers, 2021, 38 (10): 2896-2903. )

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  • 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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