An integrated approach based on virtual data augmentation and deep neural networks modeling for VFA production prediction in anaerobic fermentation process.

Xu, Run-Ze; Cao, Jia-Shun; Wu, Yang; Wang, Su-Na; Luo, Jing-Yang; Chen, Xueming; Fang, Fang

Xu, Run-Ze; Cao, Jia-Shun; Wu, Yang; Wang, Su-Na; Luo, Jing-Yang; Chen, Xueming; Fang, Fang.

Afiliação

Xu RZ; Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing, 210098, China.
Cao JS; Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing, 210098, China; Guohe Environmental Research Institute (Nanjing) Co., Ltd, Nanjing, 211599, China.
Wu Y; Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing, 210098, China.
Wang SN; Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing, 210098, China.
Luo JY; Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing, 210098, China; Guohe Environmental Research Institute (Nanjing) Co., Ltd, Nanjing, 211599, China.
Chen X; College of Environment and Resources, Fuzhou University, Fujian, 350116, China.
Fang F; Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing, 210098, China; Guohe Environmental Research Institute (Nanjing) Co., Ltd, Nanjing, 211599, China. Electronic address: ffang65@hhu.edu.cn.

Water Res ; 184: 116103, 2020 Oct 01.

Article em En | MEDLINE | ID: mdl-32731041

Assuntos

Ácidos Graxos Voláteis; Redes Neurais de Computação; Anaerobiose; Fermentação; Águas Residuárias

Palavras-chave

Anaerobic fermentation; Datasets; Deep neural networks (DNNs); Random standard deviation sampling method (RSDS); Volatile fatty acid (VFA)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Ácidos Graxos Voláteis Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Water Res Ano de publicação: 2020 Tipo de documento: Article País de afiliação: China

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