Application of gene expression programming, artificial neural network and multilinear regression in predicting hydrochar physicochemical properties
Abstract Globally, the provision of energy is becoming an absolute necessity. Biomass resources are abundant and have been described as a potential alternative source of energy. However, it is important to assess the fuel characteristics of the various available biomass sources. Soft computing techn...
Kaydedildi:
| Asıl Yazarlar: | , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
SpringerOpen
2020-11-01
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| Seri Bilgileri: | Bioresources and Bioprocessing |
| Konular: | |
| Online Erişim: | https://doi.org/10.1186/s40643-020-00350-6 |
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