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The data fusion in multi-sensors grain information monitoring system based on improved BP neural networks

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成果类型:
期刊论文、会议论文
作者:
Mao, Zhe*;Zhang, Zhuoran;Lu, Yaling
通讯作者:
Mao, Zhe
作者机构:
[Lu, Yaling; Mao, Zhe; Zhang, Zhuoran] Wu Han Polytech Univ, Elect & Elect Engn Coll, Wuhan 430024, Hubei Province, Peoples R China.
通讯机构:
[Mao, Zhe] W
Wu Han Polytech Univ, Elect & Elect Engn Coll, Wuhan 430024, Hubei Province, Peoples R China.
语种:
英文
关键词:
Grain depots monitoring system;Improved BP NN;MATLAB;Multi-sensors data fusion
期刊:
Applied Mechanics and Materials
ISSN:
1660-9336
年:
2013
卷:
263-266
期:
PART 1
页码:
269-276
会议名称:
International Conference on Information Technology and Management Innovation (ICITMI2012)
会议论文集名称:
Applied Mechanics and Materials
会议时间:
NOV 10-11, 2012
会议地点:
Guangzhou, PEOPLES R CHINA
会议主办单位:
[Mao, Zhe;Zhang, Zhuoran;Lu, Yaling] Wu Han Polytech Univ, Elect & Elect Engn Coll, Wuhan 430024, Hubei Province, Peoples R China.
会议赞助商:
Guangdong Univ Business Studies, Informat Sci Sch
主编:
Zhang, J Wang, ZJ Zhu, SR Meng, XM
出版地:
LAUBLSRUTISTR 24, CH-8717 STAFA-ZURICH, SWITZERLAND
出版者:
TRANS TECH PUBLICATIONS LTD
ISBN:
978-3-03785-574-4
机构署名:
本校为第一且通讯机构
院系归属:
电气与电子工程学院
摘要:
According to the architecture characteristics of the grain storage system and the main factors influencing the safety of the grain storage, this paper has proposed a two layers data fusion system based on multi-sensors grain storage monitoring technique, which is used to identify the safety of the storage. The first layer including data extraction and encoding, the second layer is mainly built up by the improved BP NN. The results show that the system can fully fuse the data collected by the sensors and r...

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