Application of gene expression programming, artificial neural network and multilinear regression in predicting hydrochar physicochemical properties

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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Bibliographic Details
Main Authors: Jibril Abdulsalam, Abiodun Ismail Lawal, Ramadimetja Lizah Setsepu, Moshood Onifade, Samson Bada
Format: Article
Language:English
Published: SpringerOpen 2020-11-01
Series:Bioresources and Bioprocessing
Subjects:
Artificial neural network
Biomass
Gene expression programming
Higher heating value
Hydrochars
Hydrothermal carbonization
Online Access:https://doi.org/10.1186/s40643-020-00350-6

Internet

https://doi.org/10.1186/s40643-020-00350-6

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