摘要
为提高压力传感器输出信号的调理精度,研制了基于BP神经网络的高精度智能信号调理系统。设计了基于MAX1452的信号调理电路、通信接口电路,完成硬件平台的搭建。选择BP神经网络算法作为传感器补偿算法,并编程实现。通过测试系统,验证了采用神经网络算法的可行性。
An intelligent signal conditioner with high precision based on BP neural networks is proposed to increase the precision of the pressure sensor s output. Based on MAX1452, the paper firstly designs the circuit of signal conditioner and communication, and then completes the hardware of the system. The neural network is selected as the compensation method. The experimental results in-dicate that the method based on BP neural networks is available.
出处
《微计算机信息》
北大核心
2008年第11期271-272,304,共3页
Control & Automation
基金
山东省自然科学基金项目(Z2006F05)
关键词
神经网络
信号调理
传感器
补偿
BP neural networks
Signal Conditioning
Sensor
compensation
