PSO-ANFIS and ANN Modeling of Propane/Propylene Separation using Cu-BTC Adsorbent
In this work, an artificial neural network (ANN) model along with a combination of adaptive neuro-fuzzy inference system (ANFIS) and particle swarm optimization (PSO) i.e. (PSO-ANFIS) are proposed for modeling and prediction of the propylene/propane adsorption under various conditions. Using these c...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
University of Tehran
2019-12-01
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| シリーズ: | Journal of Chemical and Petroleum Engineering |
| 主題: | |
| オンライン･アクセス: | https://jchpe.ut.ac.ir/article_72487_9072cfbb693845980dbef5eaa99ba3c8.pdf |
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