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

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...

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Bibliographic Details
Main Authors: Ayodele, B.V., Mustapa, S.I., Alsaffar, M.A., Cheng, C.K.
Format: Article
Language:English
Published: 2020
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