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基于IPSO-BP神经网络的DSC温度修正方法研究

赵舒豪 杨遂军 杨伟华 叶树亮

现代电子技术2026,Vol.49Issue(20):34-41,8.
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现代电子技术2026,Vol.49Issue(20):34-41,8.DOI:10.16652/j.issn.1004-373X.2026.20.006

基于IPSO-BP神经网络的DSC温度修正方法研究

Method of DSC temperature correction based on IPSO-BP neural network

赵舒豪 1杨遂军 2杨伟华 3叶树亮2

作者信息

  • 1. 中国计量大学 计量测试与仪器学院,浙江 杭州 310018
  • 2. 中国计量大学 计量测试与仪器学院,浙江 杭州 310018||化工产品安全测试技术与仪器浙江省工程实验室,浙江 杭州 310018
  • 3. 杭州仰仪科技有限公司,浙江 杭州 310018
  • 折叠

摘要

Abstract

In allusion to the temperature measurement error problem caused by the changes in the heating rate β and sample mass m of the differential scanning calorimeter(DSC),a method of DSC temperature correction based on the BP neural network optimized by improved particle swarm optimization algorithm(IPSO-BP)is proposed.Based on the non-equilibrium thermodynamic characteristics of the core structure of DSC,the influence of the changes in β and m on the temperature measurement of DSC was systematically analyzed.Experimental schemes covering different combinations of β and m were designed,and a training dataset was constructed for the neural network to learn the mapping relationship between temperature measurement errors and β and m.The improved particle swarm optimization(IPSO)algorithm was used to optimize the weights and biases of the hidden layers in the BP neural network,and a DSC temperature correction model was established.The experimental results show that after temperature correction using this method,the absolute value of the maximum absolute error of DSC temperature measurement is decreased from 2.509℃before correction to 0.322℃,and the average absolute error is decreased from 2.238℃to 0.203℃.This method can effectively suppress the DSC temperature measurement error introduced by the changes of β and m,which significantly reduces the influence of systematic errors caused by its core structure on temperature measurement,providing an intelligent correction solution for high-precision DSC measurement.

关键词

差示扫描量热仪/温度修正/升温速率/样品质量/BP神经网络/改进粒子群优化算法

Key words

differential scanning calorimeter/temperature correction/heating rate/sample mass/BP neural network/improved particle swarm optimization algorithm

分类

信息技术与安全科学

引用本文复制引用

赵舒豪,杨遂军,杨伟华,叶树亮..基于IPSO-BP神经网络的DSC温度修正方法研究[J].现代电子技术,2026,49(20):34-41,8.

基金项目

国家自然科学基金项目(22173087) (22173087)

国家自然科学基金项目(21927815) (21927815)

现代电子技术

1004-373X

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