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Research of broad learning system

Ren Chang'e1
Yuan Chao1
Sun Yanli1
Liu Zhulin2
C. L. Philip Chen2
1. College of Information Engineering, Capital Normal University, Beijing 100048, China
2. School of Computer Science & Engineering, South China University of Technology, Guangzhou 510006, China

Abstract

When the scale of data is large, the deep learning model will encounter the problem of time-consuming weight adjustment and easy to fall into the local optimal solution. In order to solve these problems, broad learning system comes into being. The broad learning system not only has the advantages of simple structure, fast training speed and high accuracy, but also has the advantage of incremental learning. This paper firstly introduced the background and development of broad learning system, then described the basic theory and implementation method of broad learning system, and compared its similarities and differences with deep network. Then this paper introduced the improvement of broad learning system on image classification, numerical regression, EEG signal processing, and analyzed the advantages and disadvantages of these algorithms. Finally, it summarized the shortcomings of existing broad learning algorithms, and prospected the future research direction.

Foundation Support

国家自然科学基金项目(61803276,61751202,U1813203)
北京市教育委员会科技计划一般项目(KM201910028004)
北京市自然科学基金项目(4202011)
澳门科技发展基金委项目(079/2017/A2,024/2015/AMJ,0119/2018/A3)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.11.0348
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 8
Section: Survey
Pages: 2258-2267
Serial Number: 1001-3695(2021)08-003-2258-10

Publish History

[2021-08-05] Printed Article

Cite This Article

任长娥, 袁超, 孙彦丽, 等. 宽度学习系统研究进展 [J]. 计算机应用研究, 2021, 38 (8): 2258-2267. (Ren Chang'e, Yuan Chao, Sun Yanli, et al. Research of broad learning system [J]. Application Research of Computers, 2021, 38 (8): 2258-2267. )

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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