A hybrid neural network algorithm for on-line state inference that accounts for differences in inoculum of Cephalosporium acremonium in fed-batch fermentors

Applied Biochemistry and Biotechnology - Part A Enzyme Engineering and Biotechnology

Volumn 91-93, Issue , 2001, Pages 341-352

  Silva, Rosineide G ^a   Cruz, Antonio J G ^a   Hokka, Carlos O ^a   Giordano, Raquel L C ^a   Giordano, Roberto C ^a  

^a FEDERAL UNIVERSITY OF SÃO CARLOS   (Brazil)

Author keywords

Cephalosporin C production; Hybrid model; Neural networks; State inference

Indexed keywords

CEPHALOSPORIN C;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; BIOREACTOR; CELL ACTIVITY; CEPHALOSPORIUM ACREMONIUM; CONFERENCE PAPER; FERMENTATION; INCUBATION TIME; MATHEMATICAL MODEL; MICROBIAL GROWTH; NONHUMAN;

ACREMONIUM; ALGORITHMS; BIOREACTORS; CEPHALOSPORINS; FERMENTATION; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER);

EID: 0035005092     PISSN: 02732289     EISSN: None     Source Type: Journal    
DOI: 10.1385/ABAB:91-93:1-9:341     Document Type: Conference Paper

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