Utilisation of machine learning algorithms for the prediction of syngas composition from biomass bio-oil steam reforming
The aim of this study was to utilise artificial neural network (ANN) and AdaBoost (AB) algorithms to model the synthesis gas composition from the steam reforming of biomass bio-oil. At testing on training data, it was observed that R2 > 0.999 was achieved for both algorithms for all product selec...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2021-04-01
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| Series: | International Journal of Sustainable Energy |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/14786451.2020.1803862 |