摘要
针对压力传感器在实际应用中受非目标参量(温度)的影响而导致其输出数据不仅仅与目标参量(压力)有关,提出了采用BP神经网络技术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。研究结果表明,利用神经网络实现传感器数据融合消除非目标参量对传感器输出的影响是可行的。
Because pressure sensor is affected by non-objection parameter (temperature) in the applications, the output of pressure sensor not only depends on objection parameter (pressure).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.
出处
《计算机测量与控制》
CSCD
2004年第6期598-600,共3页
Computer Measurement &Control
