基于BP神经网络的超声测压温度补偿模型  

The Temperature Compensation Model of Ultrasonic Pressuring Measuring Based On BP Neural Network

作　　者：谢建[1] 李良[1] 田桂[1] 罗志军[1] 

机构地区：[1]第二炮兵工程学院,西安710025

出　　处：《微计算机信息》2010年第7期36-37,45,共3页Control & Automation

基　　金：第二炮兵基金资助项目(编号不公开)

摘　　要：在分析了温度对超声管外压力测量的影响和现有模型不足的基础上,利用BP神经网络良好的非线性拟合能力,通过实验数据训练网络,最终建立了温度—声速—压力模型,实现了温度的补偿,结果表明补偿后的模型精度明显提高。The influence of temperature on ultrasonic pressure measuring outside pipe is analyzed and the deficiency of existing model is also presented.Based on the BP＇s good nonlinear fitting ability,the temperature –velocity–pressure model is established via experiment data training.The experiment result shows that the model is much accurate than others.

关 键 词：超声测压 BP神经网络 温度补偿 

分 类 号：TB551[理学—物理]