Intelligent Prediction of CO2 Capture in Propyl Amine Methyl Imidazole Alanine Ionic Liquid: An Artificial Neural Network Model

Publisher： Taylor & Francis Ltd

E-ISSN： 1520-5754|50|1|26-37

ISSN： 0149-6395

Source： Separation Science and Technology, Vol.50, Iss.1, 2015-01, pp. : 26-37

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Prediction of vapor-liquid equilibrium for binary systems containing HFEs by using artificial neural network

By Urata S.   Takada A.   Murata J.   Hiaki T.   Sekiya A.  

Fluid Phase Equilibria, Vol. 199, Iss. 1, 2002-06 ,pp. : 63-78

Elsevier

Access to resources Recommend Favorite

CO2 Capture and Separation Properties in the Ionic Liquid 1-n-Butyl-3-Methylimidazolium Nonafluorobutylsulfonate

By Zhou Lingyun   Fan Jing   Shang Xiaomin  

Materials, Vol. 7, Iss. 5, 2014-05 ,pp. : 3867-3880

MDPI

Access to resources Recommend Favorite

Prediction Performance of an Artificial Neural Network Model for the Amount of Cooling Energy Consumption in Hotel Rooms

By Moon Jin Woo   Jung Sung Kwon   Lee Yong Oh   Choi Sangsun  

Energies, Vol. 8, Iss. 8, 2015-08 ,pp. : 8226-8243

MDPI

Access to resources Recommend Favorite

A Novel Multiscale Ensemble Carbon Price Prediction Model Integrating Empirical Mode Decomposition, Genetic Algorithm and Artificial Neural Network

By Zhu Bangzhu  

Energies, Vol. 5, Iss. 2, 2012-02 ,pp. : 355-370

MDPI

Access to resources Recommend Favorite

Prediction of Thermal Environment in a Large Space Using Artificial Neural Network

By Yoon Hyun-Jung   Lee Dong-Seok   Cho Hyun   Jo Jae-Hun  

Energies, Vol. 11, Iss. 2, 2018-02 ,pp. : 418-418

MDPI

Access to resources Recommend Favorite