Comparative study of machine learning methods integrated with genetic algorithm and particle swarm optimization for bio-char yield prediction
In this study, Machine learning (ML) models integrated with genetic algorithm (GA) and particle swarm optimization (PSO) have been developed to predict, evaluate, and analyze biochar yield using biomass properties and process operating conditions. Comparative study of different ML algorithms integra...
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| 主要な著者: | , , , , , |
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| フォーマット: | 論文 |
| 出版事項: |
Elsevier Ltd
2022
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| 主題: | |
| オンライン･アクセス: | http://eprints.utm.my/101251/ http://dx.doi.org/10.1016/j.biortech.2022.128008 |
| タグ: |
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