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The burning of fossil fuels produces large amounts of exhaust gases containing carbon dioxide (CO 2). The emission of CO 2 into the atmosphere is widely known as the leading cause of global warming and climate change. The separation processes are responsible for capturing the CO 2 to reduce its undesirable effects on the environment. Since the conventional processes have their drawbacks, it is crucial to find a more environment-friendly process for CO 2 capture. Recently, ionic liquids (ILs) have become an interesting candidate for CO 2 capture. In this study, the solubility of CO 2 in the 1-n-butyl-3-methylimidazolium tetrafluoroborate ([Bmim][BF4]) is estimated using six different artificial intelligence (AI) techniques, including four artificial neural networks (ANN), support vector machines (LS-SVM), adaptive neuro-fuzzy interface system (ANFIS). The cascade feed-forward neural network has been found as the …