An efficient model development strategy for bioprocesses based on neural networks in macroscopic balances

Biotechnology and Bioengineering

Volumn 54, Issue 6, 1997, Pages 549-566

  Van Can, H J L ^a   Te Braake, H A B ^a   Hellinga, C ^a   Luyben, K C A M ^a   Heijnen, J J ^a  

^a DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

hybrid models; neural networks; penicillin G

Indexed keywords

MATHEMATICAL MODELS; NEURAL NETWORKS; REAL TIME SYSTEMS;

MACROSCOPIC BALANCE; PENICILLIN G;

BIOCONVERSION;

6 AMINOPENICILLANIC ACID; PENICILLIN G POTASSIUM; PHENYLACETIC ACID;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL REACTION; DRUG HYDROLYSIS; MATHEMATICAL MODEL;

EID: 0343052706     PISSN: 00063592     EISSN: None     Source Type: Journal    
DOI: 10.1002/(SICI)1097-0290(19970620)54:6<549::AID-BIT6>3.0.CO;2-J     Document Type: Article

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