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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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
University of Tehran
2019-12-01
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| Edice: | Journal of Chemical and Petroleum Engineering |
| Témata: | |
| On-line přístup: | https://jchpe.ut.ac.ir/article_72487_9072cfbb693845980dbef5eaa99ba3c8.pdf |
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