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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主要な著者: Ayodele B.V., Mustapa S.I., Alsaffar M.A., Cheng C.K.
その他の著者: 56862160400
フォーマット: 論文
出版事項: MDPI 2023
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