Application of fuzzy neural network in data fusion

被引：0

作者：

Fu, JQ ^{[1
]}

Zeng, Y ^{[1
]}

Zhu, XJ ^{[1
]}

机构：

[1] Shanghai Univ, Machinery Elect & Automat Sch, Shanghai 200072, Peoples R China

来源：

ISTM/2005: 6TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-9, CONFERENCE PROCEEDINGS | 2005年

关键词：

multi-sensor; data fusion; fuzzy neural network;

D O I：

暂无

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

Application of fuzzy neural network in multi-sensor data fusion was researched in the paper It comprises three inputs, static pressure (P), temperature(T) and error[e(n)], and one output, differential pressure(Delta P). For the intercross sensitivity of pressure sensors to temperature, a fuzzy algorithm performing data fusion disposal is adopted. It eliminates impact of temperature to pressure sensors and improves stability and precision. The result shows that the fuzzy neural network not only meets the precision but also improves the speed greatly. It actualizes intelligentized operation and takes on the good practicality.

引用

页码：1912 / 1915

页数：4