Evolving machine learning models to predict hydrogen sulfide solubility in the presence of various ionic liquids
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- 作者：Hamid Reza Amedia ; Alireza Baghbanb ; Mohammad Ali Ahmadic ; d ; ahmadi6776@yahoo.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Ionic liquids ; Hydrogen sulfide ; Solubility ; MLP-ANN ; RBF-ANN ; ANFIS
- 刊名：Journal of Molecular Liquids
- 出版年：2016
- 出版时间：April 2016
- 年：2016
- 卷：216
- 期：Complete
- 页码：411-422
- 全文大小：3003 K
文摘
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Easy-to-use approaches for modeling H2S solubility in various ionic liquids have been proposed.
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Extensive data banks were employed to develop intelligent low parameter approaches.
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Statistical analysis is employed to specify efficiency of the suggested model.