Prediction of Fuel Properties of Torrefied Biomass Based on Back Propagation Neural Network Hybridized with Genetic Algorithm Optimization

Prediction of Fuel Properties of Torrefied Biomass Based on Back Propagation Neural Network Hybridized with Genetic Algorithm Optimization

Torrefaction is an effective technology to overcome the defects of biomass which are adverse to its utilization as solid fuels. For assessing the torrefaction process, it is essential to characterize the properties of torrefied biomass. However, the preparation and characterization of torrefied biom...

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Bibliographic Details
Main Authors: Xiaorui Liu, Haiping Yang, Jiamin Yang, Fang Liu
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Energies
Subjects:
biomass
torrefaction
fuel property
machine learning
BP neural network
genetic algorithm
Online Access:https://www.mdpi.com/1996-1073/16/3/1483

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