A Particle Swarm Optimization Approach for Random Effects Regression Model
碩士 === 國立新竹教育大學 === 應用數學系碩士班 === 104 === With the progress of the eras, many algorithms generated by the observation of natural biological habits, so does Particle Swarm Optimization. In this paper, we discuss how the PSO algorithm used in common regression models with random effects and Latent Diri...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/90046273610687531688 |
| Summary: | 碩士 === 國立新竹教育大學 === 應用數學系碩士班 === 104 === With the progress of the eras, many algorithms generated by the observation of natural biological habits, so does Particle Swarm Optimization. In this paper, we discuss how the PSO algorithm used in common regression models with random effects and Latent Dirichlet Allocation. By our algorithm, it can be seen that even though the part of the calculation process can be simplified a lot, but spend more time because of relatively increase number of particles.
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