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...
Gardado en:
| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
SpringerOpen
2020-11-01
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| Series: | Bioresources and Bioprocessing |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1186/s40643-020-00350-6 |
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