Data Fusion of Ultrasonic Wave Sensor Static State Based on BP Neural Network

被引：0

作者：

Wang, Xuesong ^{[1
]}

机构：

[1] Zhongshan Torchs Polytech, Zhongshan 528436, Peoples R China

来源：

GREEN POWER, MATERIALS AND MANUFACTURING TECHNOLOGY AND APPLICATIONS II | 2012年 / 214卷

关键词：

BP Neural Network; Ultrasonic Sensor; Data Fusion; Temperature Affect;

D O I：

10.4028/www.scientific.net/AMM.214.877

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Because Ultrasonic sensor is affected by temperature in the applications, the output of Ultrasonic sensor not only depends on objection parameter (distance) .The method of eliminating affection caused by non - object parameter based on BP neural network data fusion is adopted. The results show the method elimination affection based on neural network data fusion is feasible.

引用

页码：877 / 881

页数：5