摘要
经典传感器的输入输出特性大都存在非线性,且易受工作环境温度的影响。本文提出了采用BP神经网络技术和虚拟仪器技术相结合的方法,对其进行数据融合处理,以消除非目标参量对压力传感器输出的影响。
The inputs/outputs of typical sensors are almost nonlinear, and they are always influenced by envirement,This paper adopts the Data Fusion method which is based on BP neural network and virtual instrument technology,to eliminate the influence to the outputs of pressure sensor.
出处
《仪器仪表用户》
2006年第1期33-35,共3页
Instrumentation
