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A Novel Feature Selection Method Based on Extreme Learning Machine and Fractional-Order Darwinian PSO
The paper presents a novel approach for feature selection based on extreme learning machine (ELM) and Fractional-order Darwinian particle swarm optimization (FODPSO) for regression problems. The proposed method constructs a fitness function by calculating mean square error (MSE) acquired from ELM. A...
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| 發表在: | Comput Intell Neurosci |
|---|---|
| Main Authors: | , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Hindawi
2018
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5960553/ https://ncbi.nlm.nih.gov/pubmed/29853832 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2018/5078268 |
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