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

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, Bamidele V., Siti Indati, Mustapa, Alsaffar, May Ali, Cheng, C. K.
Format: Article
Language:English
Published: MDPI 2019
Subjects:
TP Chemical technology
Online Access:http://umpir.ump.edu.my/id/eprint/26852/1/Artificial%20intelligence%20modelling%20approach%20for%20the%20prediction%20of%20CO.pdf

Internet

http://umpir.ump.edu.my/id/eprint/26852/1/Artificial%20intelligence%20modelling%20approach%20for%20the%20prediction%20of%20CO.pdf

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