Research on Smart Home Security System Based on BP Neural Network Information Fusion

被引：0
|
作者：
Wang, Yongliang [1 ]
Lv, Huimin [1 ]
Zhang, Qi [2 ]
Wang, Pengfei [3 ]
Yan, Daliang [1 ]
Lu, Dengcheng [4 ]
机构：
[1] Tianjin Univ Technol & Educ, Tianjin Key Lab Informat Sensing & Intelligent Co, Tianjin, Peoples R China
[2] Hangzhou Xiaoshan Technician Coll, Hangzhou, Zhejiang, Peoples R China
[3] Jiaxing Technician Inst, Jiaxing, Zhejiang, Peoples R China
[4] Tianjin Univ Technol & Educ, Tianjin, Peoples R China
来源：
2018 CHINESE AUTOMATION CONGRESS (CAC) | 2018年
关键词：
BP neural network; information fusion; smart home security system;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
At present, the research of smart home security system has become one of the key research directions of smart home system. It is necessary to detect and judge the security of the home in real time through the system, so as to avoid the occurrence of unexpected disasters. This paper first studies and designs the overall scheme of security system in smart home. Then using the BP neural network information fusion to predict and analyze the safety system. Finally the predicted value compares with the expected value. The results show that the BP neural network information fusion can more accurately analyze the safety of smart home, which is conducive to further research and application of smart home security system.
引用
收藏
页码：1381 / 1384
页数：4
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