期刊文献+

微粒群算法反演粒径分布的研究 被引量:3

Inverse Analysis of Particles' Size Distribution by Particle Swarm Optimizer Algorithm
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摘要 本文根据多波长下的Mie光散射理论及Lambert-Beer光透射定律,提出一种基于多相微粒群算法(PSO)反演粒子系粒径分布的有效方法。对于独立模式和非独立模式下的粒子粒径分布进行了反演计算,获得了合理的粒径分布。 A particle swarm optimizer (PSO) algorithm, which is based on the Mie light scattering theory with multi - wavelength and Lambert - Beer law, is presented to estimate the size distribution of particles. The novel PSO- based method is proved to be available to retrieve the reasonable size distribution of the particles,not only for dependent model but also for the independent model.
出处 《节能技术》 CAS 2007年第1期7-9,13,共4页 Energy Conservation Technology
基金 国家自然科学基金重点项目50336010资助
关键词 粒径分布 独立模式 非独立模式 多相微粒群算法 size distribution dependent model independent model particle swarm optimizer algorithm
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参考文献7

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