摘要
介绍了一种海水压力传感器数据采集的设计方法,用BP神经网络算法对其进行温度的软件补偿.能有效改善传感器的非线性及温度变化所引起的输出的误差,提高了测量精确性和可靠性,算法通过单片机编程进行实现,经过修正的数据由RS232通信端口传输给上位机.
The authors introduced a design method of water pressure sensor data collection, carrying out temperature compensation software with BP neural network. The algorithm can effectively improve the output of the error caused by the sensor's non-linear and temperature changes, improve the measurement accuracy and reliability, the algorithm realization through the single-chip programming having amended data transmission to PC by the RS232 communication port.
出处
《哈尔滨理工大学学报》
CAS
北大核心
2009年第A01期52-54,共3页
Journal of Harbin University of Science and Technology