采用BP神经网络提高压力传感器的输出准确度

Improve Vveracity of the Output data of Pressure Senor Base on BP Neural Network

针对压力传感器在实际应用中,输出数据不仅仅与目标参量(压力)有关,而且还受非目标参量(温度)影响的问题,笔者提出了采用BP神经网络技术对其进行数据融合处理的方法,以消除非目标参量的影响。研究结果表明该方法是可行的。

When the pressure senor was be used,the data of output not only determined its targeting parameter（pressure） but also was influenced by its non-target parameter（temperature）.The article introduce we can using the technology of Back-Propagation Neural Network in order to.The result of research indicate that we can use Neural Network to achieve data amalgamation for sensor in order to avoid the affect which is the non-target parameter influence the output of senor is possible.