Comparative studies on modelling and optimization of hydrodynamic parameters on inverse fluidized bed reactor using ANN-GA and RSM
Optimization of hydrodynamic parameters in counter flow inverse fluidized bed reactor (IFBR) is studied in this paper. Comparative analysis was made between artificial neural network (ANN) and response surface methodology (RSM) to evaluate the parameters. The effects of operating variables such as b...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2018-12-01
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| Series: | Alexandria Engineering Journal |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1110016818300991 |