Artificial Neural Network Modeling to Predict the Efficiency of Phosphoric Acid-Hydrogen Peroxide Pretreatment of Wheat Straw

Phosphoric acid-hydrogen peroxide (PHP) pretreatment is an effective method to obtain a cellulose-enriched fraction from biomass. In this study, artificial neural network (ANN) was used to predict PHP pretreatment efficiency of cellulose content (C-C), cellulose recovery (C-Ry), hemicellulose remova...

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Huvudupphov:	Qing Wang, Jinxiang Hua, Jinguang Hu, Li Zhao, Mei Huang, Dong Tian, Yongmei Zeng, Shihuai Deng, Fei Shen, Xinquan Zhang
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	North Carolina State University 2023-11-01
Serie:	BioResources
Ämnen:	lignocellulosic biomass ann model pretreatment efficiency prediction relative importance
Länkar:	https://ojs.cnr.ncsu.edu/index.php/BRJ/article/view/22736
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