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...

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Hlavní autoři:	Jibril Abdulsalam, Abiodun Ismail Lawal, Ramadimetja Lizah Setsepu, Moshood Onifade, Samson Bada
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	SpringerOpen 2020-11-01
Edice:	Bioresources and Bioprocessing
Témata:	Artificial neural network Biomass Gene expression programming Higher heating value Hydrochars Hydrothermal carbonization
On-line přístup:	https://doi.org/10.1186/s40643-020-00350-6
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