Modeling and prediction for diesel performance based on deep neural network combined with virtual sample.

Zheng, Hainan; Zhou, Honggen; Kang, Chao; Liu, Zan; Dou, Zhenhuan; Liu, Jinfeng; Li, Bingqiang; Chen, Yu

Zheng, Hainan; Zhou, Honggen; Kang, Chao; Liu, Zan; Dou, Zhenhuan; Liu, Jinfeng; Li, Bingqiang; Chen, Yu.

Afiliação

Zheng H; School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang, China.
Zhou H; School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang, China.
Kang C; School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang, China. kaochao_017@163.com.
Liu Z; School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang, China.
Dou Z; Shaanxi Diesel Heavy Industry, LTD, Xi'an, China.
Liu J; School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang, China.
Li B; School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang, China.
Chen Y; School of Mechanical Engineering, Jiangsu University of Science and Technology, Zhenjiang, China.

Sci Rep ; 11(1): 16709, 2021 08 18.

Article em En | MEDLINE | ID: mdl-34408223

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sci Rep Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China

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