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改进BP算法在热流传感器温度补偿中的应用
引用本文:康国炼,杨遂军,叶树亮.改进BP算法在热流传感器温度补偿中的应用[J].传感器与微系统,2016(2):154-156.
作者姓名:康国炼  杨遂军  叶树亮
作者单位:中国计量学院 工业与商贸计量技术研究所,浙江 杭州,310018
基金项目:浙江省公益技术研究社发项目
摘    要:针对帕尔贴( Peltier)热流传感器存在温度漂移问题,提出了一种基于改进BP神经网络的温度补偿模型.采用BP算法的多层前馈网络建立起热流传感器输出电压、实验温度与输入热流间的映射关系,又通过增加动量因子和自适应调节学习率来提高网络的收敛速度与增强网络平稳性.研究结果表明:动量因子-自适应学习率算法温度补偿模型效果明显.

关 键 词:帕尔贴热流传感器  动量因子  BP算法  温度漂移

Application of improved BP algorithm in temperature compensation of heat flux sensor
KANG Guo-lian,YANG Sui-jun,YE Shu-liang.Application of improved BP algorithm in temperature compensation of heat flux sensor[J].Transducer and Microsystem Technology,2016(2):154-156.
Authors:KANG Guo-lian  YANG Sui-jun  YE Shu-liang
Abstract:Aiming at temperature drift of Peltier heat flux sensor,a temperature compensation model based on improved BP neural network is proposed. Utilizing multilayer forward network of BP algorithm to build a mapping relationship between output voltage of heat flux sensor,experimental temperature and input heat flux,and by adding momentum factor and adaptively adjust learning rate to increase convergence speed and stabilization of network. Research results show that the temperature compensation model based on momentum factor-adapted learning rate algorithm has obvious effect.
Keywords:Peltier heat flux sensor  momentum factor  BP algorithm  temperature drift
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