Artificial Neural Network Modeling of Thermo-catalytic Methane Decomposition for Hydrogen Production
Bayesian networks; Calcination; Catalysts; Knowledge based systems; Mean square error; Methane; Multilayer neural networks; Predictive analytics; Sensitivity analysis; Specific surface area; Topology; Artificial neural network modeling; Bayesian regularization; Calcination temperature; Catalytic met...
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| Main Authors: | , , , , |
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| Format: | Article |
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Springer
2023
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| Summary: | Bayesian networks; Calcination; Catalysts; Knowledge based systems; Mean square error; Methane; Multilayer neural networks; Predictive analytics; Sensitivity analysis; Specific surface area; Topology; Artificial neural network modeling; Bayesian regularization; Calcination temperature; Catalytic methane decompositions; Coefficient of determination; Multi-layer perceptron neural networks; Non-linear relationships; Trained neural networks; Hydrogen production |
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