Improving the precision in retrieving particle size distribution by particle swarm optimization
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.
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