Artificial intelligence modelling approach for the prediction of CO-rich hydrogen production rate from methane dry reforming

• 主要な著者: Ayodele, B.V., Mustapa, S.I., Alsaffar, M.A., Cheng, C.K.
• フォーマット: 論文
• 言語: English
• 出版事項: 2020

This study investigates the applicability of the Leven–Marquardt algorithm, Bayesian regularization, and a scaled conjugate gradient algorithm as training algorithms for an artificial neural network (ANN) predictively modeling the rate of CO and H2 production by methane dry reforming over a Co/Pr2O3...