红外技术2025，Vol.47Issue(10)：1296-1304,9.
基于ISSA-BP算法的红外气体传感器温度补偿
Temperature Compensation of Infrared Gas Sensor Based on ISSA-BP Algorithm
摘要
Abstract
Infrared gas sensors are easily affected by the ambient temperature during operation,resulting in unsatisfactory detection accuracy.To solve the temperature compensation problem of infrared gas sensors,the ISSA was introduced to optimize the BP neural network.First,a model of the sparrow search algorithm is established in MATLAB to optimize BP neural network and improve its optimization ability;the method of TENT chaotic mapping and dynamic adaptive weight factor is added to optimize the sparrow search algorithm.After a performance test of the benchmark function,the ISSA demonstrated excellent global search ability,stable performance,and a fast optimization speed.Finally,the ISSA-BP algorithm was used for the actual temperature compensation of infrared sensors,and the results showed that the ISSA-BP temperature compensation algorithm can effectively compensate for the temperature of infrared gas sensors.关键词
红外气体传感器/麻雀搜索算法/BP神经网络/Tent混沌/自适应Key words
infrared gas sensor/sparrow search algorithm/BP neural networks/tent chaos/adaptive分类
计算机与自动化引用本文复制引用
安小宇,王浩宇,石保敬,张静,任成龙,梅永祥..基于ISSA-BP算法的红外气体传感器温度补偿[J].红外技术,2025,47(10):1296-1304,9.基金项目
郑州市重大科技创新专项(2020CXZX0066) （2020CXZX0066）
河南省科技攻关项目(222102220054). （222102220054）
