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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
2020
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