Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 8
2329-2332

Body area network data fusion method based on deep neural decision forests

Zhang Hui1
Wang Yang2
Li Chang2
Zhang Xin2
Zhao Chuanxin2
1. Wanjiang College of Anhui Normal University, Wuhu Anhui 241008, China
2. School of Computer & Information, Anhui Normal University, Wuhu Anhui 241000, China
DOI: 10.19734/j.issn.1001-3695.2019.04.0045

Abstract

Aiming at the problems of large data redundancy and unclear characteristics of multi-sensor data acquisition in the body area network, this paper proposed a data fusion method based on deep neural decision forests(DNDF). The method used a convolutional neural network for feature extraction, and classified the data after placing the decision tree into the fully connected layer. The DNDF method could extract the critical features of the multi-dimensional data effectively, and preserved the correlation between the data better. The experiment used the AReM dataset. The results show that the DNDF method has better performance than other traditional algorithms and achieves higher classification accuracy.

Foundation Support

国家自然科学基金资助项目(61871412)
安徽省自然科学基金资助项目(1708085MF156)
赛尔网络下一代互联网技术创新项目(NGII20170305)
安徽省高校优秀青年人才支持计划一般项目(gxyq2017140)
安徽省质量工程重大项目(2018jyxm0342)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.04.0045
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 8
Section: Algorithm Research & Explore
Pages: 2329-2332
Serial Number: 1001-3695(2020)08-018-2329-04

Publish History

[2020-08-05] Printed Article

Cite This Article

张辉, 王杨, 李昌, 等. 基于深度神经决策森林的体域网数据融合方法 [J]. 计算机应用研究, 2020, 37 (8): 2329-2332. (Zhang Hui, Wang Yang, Li Chang, et al. Body area network data fusion method based on deep neural decision forests [J]. Application Research of Computers, 2020, 37 (8): 2329-2332. )

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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.

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