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Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 10
2955-2957,2991

Application of feature combination method of denoising autoencoder and BPSO in TCM

Huang Canyi
Du Jianqiang
Nie Bin
Zeng Qingxia
Zhu Zhipeng
Yu Fang
College of Computer Science, Jiangxi University of Traditional Chinese Medicine, Nanchang 330004, China
DOI: 10.19734/j.issn.1001-3695.2018.03.0207

Abstract

The discrete binary particle swarm optimization algorithm has many advantages in various discrete optimization problems, but it is very easy to fall into the local optimal solution due to the nonlinear problem, and the best feature subset cannot be obtained. The noise reduction self-encoder can be mapped and reconstructed through a multi-layer nonlinear network, which has a good effect on Chinese medicine data. This paper proposed a feature combination method of fusion noise reduction self-encoder and BPSO. This method mainly used noise reduction self-encoder to perform nonlinear mapping of features to form super-complete basis, and then searched in super-complete basis through BPSO. To get the best feature subset, it used the clinical diabetes datasets and UCI datasets for analysis and processing. The experimental results show that the combination of fused-noise self-encoder and BPSO features has a good adaptability to clinical experimental data of TCM.

Foundation Support

国家自然科学基金资助项目(61363042,61562045)
江西省重点研发计划重点项目(20171ACE50021)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.03.0207
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 10
Section: Algorithm Research & Explore
Pages: 2955-2957,2991
Serial Number: 1001-3695(2019)10-016-2955-03

Publish History

[2019-10-05] Printed Article

Cite This Article

黄灿奕, 杜建强, 聂斌, 等. 融合降噪自编码器与BPSO的特征组合方法及其中医应用 [J]. 计算机应用研究, 2019, 36 (10): 2955-2957,2991. (Huang Canyi, Du Jianqiang, Nie Bin, et al. Application of feature combination method of denoising autoencoder and BPSO in TCM [J]. Application Research of Computers, 2019, 36 (10): 2955-2957,2991. )

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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