Study on soft sensor modeling method for sign of contaminated fermentation broth in Chlortetracycline fermentation process.

Wang, Mei-Chun; Han, Xiang; Sun, Yu-Mei; Sun, Qiao-Yan; Chen, Xiang-Guang

Wang, Mei-Chun; Han, Xiang; Sun, Yu-Mei; Sun, Qiao-Yan; Chen, Xiang-Guang.

Afiliação

Wang MC; Department of Electrical and Electronic Engineering, College of Engineering, Yantai Nanshan University, Longkou, China.
Han X; School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, China.
Sun YM; Department of Electrical and Electronic Engineering, College of Engineering, Yantai Nanshan University, Longkou, China.
Sun QY; Department of Electrical and Electronic Engineering, College of Engineering, Yantai Nanshan University, Longkou, China.
Chen XG; Department of Electrical and Electronic Engineering, College of Engineering, Yantai Nanshan University, Longkou, China.

Prep Biochem Biotechnol ; 51(1): 76-85, 2021.

Article em En | MEDLINE | ID: mdl-32990498

Assuntos

Bactérias/metabolismo; Técnicas de Cultura Celular por Lotes/métodos; Reatores Biológicos/microbiologia; Clortetraciclina/biossíntese; Biologia Computacional/métodos; Açúcares/metabolismo; Bacteriófagos/metabolismo; Fermentação; Modelos Teóricos; Redes Neurais de Computação; Distribuição Normal; Análise de Ondaletas

Palavras-chave

Chlortetracycline fermentation; Gauss process regression; contamination of fermentation broth; recursive wavelet neural network; soft sensor modeling; total sugar content

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Bactérias / Clortetraciclina / Reatores Biológicos / Biologia Computacional / Açúcares / Técnicas de Cultura Celular por Lotes Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

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