四川大学学报（自然科学版）2024，Vol.61Issue(2)：106-112,7.DOI:10.19907/j.0490-6756.2024.024001
利用粒子群算法提高微粒粒径分布反演的精度
Improving the precision in retrieving particle size distribution by particle swarm optimization
摘要
Abstract
Particle size distribution retrieving is a long-standing problem in atmospheric science,and the ex-tinction method is an effective solution to this problem.However,the ill-conditioned problem of the kernel matrix,which is adopted by the extinction method,seriously affects the actual retrieving.To solve this prob-lem,we propose an approach named particle swarm optimization for retrieving particle size distribution,which improves the accuracy by more than three times compared with the linear regression method.The va-lidity of this idea is verified by numeric simulation.关键词
粒径分布/病态/消光法/优化Key words
Particle size distribution/Ill-condition/Extinction method/Optimization分类
数理科学引用本文复制引用
方龙杰,程科,何修军..利用粒子群算法提高微粒粒径分布反演的精度[J].四川大学学报（自然科学版）,2024,61(2):106-112,7.基金项目
成都信息工程大学科研启动基金(KYTZ202171) （KYTZ202171）
