Applying artificial neural network to predict the viscosity of microalgae slurry in hydrothermal hydrolysis process

Applying artificial neural network to predict the viscosity of microalgae slurry in hydrothermal hydrolysis process

Estimation of the viscosity of microalgae slurry is the premise for the design of industrial reactors in microalgal biofuel production. To accurately predict the viscosity of microalgae slurry (Chlorella pyrenoidosa), an artificial neural network (ANN) model is designed in this study. In the ANN mod...

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Bibliographic Details
Main Authors: Hao Chen, Qian Fu, Qiang Liao, Xun Zhu, Akeel Shah
Format: Article
Language:English
Published: Elsevier 2021-06-01
Series:Energy and AI
Subjects:
Artificial neural network
Viscosity prediction
Microalgae slurry
Hydrothermal hydrolysis process
Curve fitting
Online Access:http://www.sciencedirect.com/science/article/pii/S2666546821000070

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http://www.sciencedirect.com/science/article/pii/S2666546821000070

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