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...
Saved in:
| Main Authors: | , , , |
|---|---|
| 格式: | Article |
| 語言: | English |
| 出版: |
2020
|
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|