Application of neural network data fusion algorithm in measurement circuit

被引：1
|
作者：
Ni, Xiaoyong [1 ]
Wang, Dianhong [1 ]
Zhang, Hongjian [1 ]
机构：
[1] China Univ Geosci, Sch Mech & Elect, Wuhan 430074, Peoples R China
来源：
ICIEA 2008: 3RD IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, PROCEEDINGS, VOLS 1-3 | 2008年
关键词：
D O I：
10.1109/ICIEA.2008.4582471
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Multi-sensor data fusion is a technology to fuse data from multiple sensors in order to make a more accurate estimation of the environment through measurement and detection. In this article a smart measurement circuit which embeds with neural network data fusion algorithm is designed with FPGA-based System-on-Chip (SoC) architecture. The circuit can operate in power down mode and its parameters are adjusted on-line. Influence of structure parameters to the network performance are analyzed and a partition succeed method is presented to shorten the time of network training on-line.
引用
收藏
页码：12 / 17
页数：6
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