摘要
介绍了一种基于神经网络的改进型超声波流量测量系统的研制,该系统针对时差法超声波流量计在小管径应用上时差难以测量的不足,采用动量BP算法,实现了对各种非线性影响因素的补偿,通过参数修正有效地提高了系统的测量精度。与传统时差法超声波流量计相比,该系统稳定性好,精度高,具有良好的应用价值和推广价值。
Introduce that a design of ameliorate ultrasonic flow measurement system.In order to overcome the insufficiency of the ultrasonic flow meter for small diameter pipe in travel time,an momentum BP arithmetic is used to realize the compensate of variety of non-linearity influence factors.And the accuracy of measurement has been improved by parameter amending.Compared with the traditional ultrasonic flow meter,the system has well stability,precision and practicality.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第25期78-80,共3页
Computer Engineering and Applications
基金
校科技基金(No.2006KJM14)
关键词
超声波流量
神经网络
动量BP
小管径
ultrasonic flow
neural network
momentum BP
small diameter pipe