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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 12
3740-3743

Analysis of TCM data with PLS method fusing softmax

Li Huana
Nie Bina
Du Jianqianga
Yu Riyueb
Zhou Lia
Huang Qianga
a. School of Computer, b. School of Pharmacy, Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China
DOI: 10.19734/j.issn.1001-3695.2018.08.0592

Abstract

PLS-DA is a linear classification method, which cannot fully express the nonlinear relationship between data, and is difficult to adapt to the classification and identification of nonlinear data. Aiming at this problem, with softmax regression can express the nonlinear relationship, the paper proposed a partial least squares discriminant analysis algorithm fusing softmax(PLS-S-DA). In order to verify the validity of PLS-S-DA for nonlinear data, it used the accuracy, run time, precision, recall and F1-score as evaluation indicators. It used four UCI data sets and Chinese herbal medicine data set for testing. The performance of PLS-S-DA was compared with five classification algorithms such as PLS-DA. The results show that for data with nonlinear characteristics, PLS-S-DA has higher accuracy than other algorithms, and has stronger recognition ability for cold medicine and hot medicine.

Foundation Support

国家自然科学基金资助项目(61562045,61762051)
江西省卫生计生委中医药科研计划资助项目(2017A282)
江西省科技厅重点研发计划资助项目(20171ACE50021)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.08.0592
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 12
Section: Algorithm Research & Explore
Pages: 3740-3743
Serial Number: 1001-3695(2019)12-046-3740-04

Publish History

[2019-12-05] Printed Article

Cite This Article

李欢, 聂斌, 杜建强, 等. 融合softmax的偏最小二乘法及中药数据分析研究 [J]. 计算机应用研究, 2019, 36 (12): 3740-3743. (Li Huan, Nie Bin, Du Jianqiang, et al. Analysis of TCM data with PLS method fusing softmax [J]. Application Research of Computers, 2019, 36 (12): 3740-3743. )

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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