基于PCA算法的物联网识别技术研究与应用

Guo Xie-chao
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引用次数: 0

摘要

随着科技的快速发展,物联网正在成为我们社会中最重要的组成部分之一。物联网可以使一切事物与互联网相连,方便识别和管理。在对物联网中的事物进行识别的过程中,会出现不相关、模糊的数据,我们无法进行有效的分析和识别。针对数据分析工作,本文提出了基于PCA算法的技术,并将其应用到物联网工作中。通过理论和实验结果证明,我们提出的技术可以从prolix数据中选择主要信息,并完成识别工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Research and Application of PCA Algorithm Based Recognition Technology in the Internet of Things
With the quick development of technology, the Internet of things is becoming one of the most important components in our society. The Internet of things can make everything connected with Internet, and it is convenient to recognize and manage. In the process of recognizing the things in the Internet of things, it will appear irrelative and vague data, and we could not analyze and identify effectively. Focusing on the work of analyzing data, we propose PCA algorithm based technology in this paper, and apply it into works in the Internet of things. Through the theory and experimental results, we can prove that the technology we propose can select main information from prolix data, and complete the recognition works.
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