Hydrogen solubility in aromatic/cyclic compounds: Prediction by different machine learning techniques
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DOI: 10.1016/j.ijhydene.2021.04.148
Abstract: Abstract A systematic procedure based on adaptive neuro-fuzzy inference systems (ANFIS), artificial neural networks, and least-squares support vector machines develop to estimate hydrogen solubility in aromatic and cyclic compounds. The key features of these models… read more here.
Keywords: cyclic compounds; solubility aromatic; aromatic cyclic; hydrogen solubility ... See more keywords