Matches in SemOpenAlex for { <https://semopenalex.org/work/W2035462992> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W2035462992 endingPage "379" @default.
- W2035462992 startingPage "363" @default.
- W2035462992 abstract "Empirical modeling of the industrial antibiotic fed-batch fermentation process is discussed in this paper. Several methods including neural networks, genetic algorithms and feature selection are combined with prior knowledge in the research methodology. A linear model, a radial basis function neural network and a hybrid linear–neural network model are applied for the model formation. Two approaches to modeling of antibiotic fermentation process are presented: a dynamic modeling of the process and a modeling in the fermentation sample space. The first approach is focused on the current state of the fermentation process and forecasts the future product concentration. The second approach treats the fermentation batch as one sample which is characterized by the set of extracted features. Based on these features, the fermentation efficiency is predicted. Modeling in the fermentation sample space integrates the prior knowledge of experts with empirical information and can represent a basis for the control of the fermentation process." @default.
- W2035462992 created "2016-06-24" @default.
- W2035462992 creator A5005875450 @default.
- W2035462992 creator A5071171883 @default.
- W2035462992 date "1999-09-01" @default.
- W2035462992 modified "2023-10-17" @default.
- W2035462992 title "Empirical modeling of antibiotic fermentation process using neural networks and genetic algorithms" @default.
- W2035462992 cites W1964735120 @default.
- W2035462992 cites W1969549573 @default.
- W2035462992 cites W1980340867 @default.
- W2035462992 cites W1982147649 @default.
- W2035462992 cites W1987876065 @default.
- W2035462992 cites W1989636633 @default.
- W2035462992 cites W2005624912 @default.
- W2035462992 cites W2007700211 @default.
- W2035462992 cites W2008318367 @default.
- W2035462992 cites W2024594652 @default.
- W2035462992 cites W2027121866 @default.
- W2035462992 cites W2051200331 @default.
- W2035462992 cites W2070105158 @default.
- W2035462992 cites W2072773743 @default.
- W2035462992 cites W2075266296 @default.
- W2035462992 cites W2092704068 @default.
- W2035462992 cites W2095714275 @default.
- W2035462992 cites W2101586799 @default.
- W2035462992 cites W2138484437 @default.
- W2035462992 cites W2147679591 @default.
- W2035462992 cites W2148633620 @default.
- W2035462992 cites W2149350706 @default.
- W2035462992 cites W2171277043 @default.
- W2035462992 cites W4245903722 @default.
- W2035462992 cites W4246998858 @default.
- W2035462992 cites W586672046 @default.
- W2035462992 doi "https://doi.org/10.1016/s0378-4754(99)00045-2" @default.
- W2035462992 hasPublicationYear "1999" @default.
- W2035462992 type Work @default.
- W2035462992 sameAs 2035462992 @default.
- W2035462992 citedByCount "26" @default.
- W2035462992 countsByYear W20354629922012 @default.
- W2035462992 countsByYear W20354629922013 @default.
- W2035462992 countsByYear W20354629922014 @default.
- W2035462992 countsByYear W20354629922015 @default.
- W2035462992 countsByYear W20354629922017 @default.
- W2035462992 countsByYear W20354629922018 @default.
- W2035462992 countsByYear W20354629922021 @default.
- W2035462992 crossrefType "journal-article" @default.
- W2035462992 hasAuthorship W2035462992A5005875450 @default.
- W2035462992 hasAuthorship W2035462992A5071171883 @default.
- W2035462992 hasConcept C100544194 @default.
- W2035462992 hasConcept C111919701 @default.
- W2035462992 hasConcept C11413529 @default.
- W2035462992 hasConcept C119857082 @default.
- W2035462992 hasConcept C127413603 @default.
- W2035462992 hasConcept C154945302 @default.
- W2035462992 hasConcept C183696295 @default.
- W2035462992 hasConcept C185592680 @default.
- W2035462992 hasConcept C198531522 @default.
- W2035462992 hasConcept C31903555 @default.
- W2035462992 hasConcept C41008148 @default.
- W2035462992 hasConcept C43617362 @default.
- W2035462992 hasConcept C50644808 @default.
- W2035462992 hasConcept C86803240 @default.
- W2035462992 hasConcept C98045186 @default.
- W2035462992 hasConceptScore W2035462992C100544194 @default.
- W2035462992 hasConceptScore W2035462992C111919701 @default.
- W2035462992 hasConceptScore W2035462992C11413529 @default.
- W2035462992 hasConceptScore W2035462992C119857082 @default.
- W2035462992 hasConceptScore W2035462992C127413603 @default.
- W2035462992 hasConceptScore W2035462992C154945302 @default.
- W2035462992 hasConceptScore W2035462992C183696295 @default.
- W2035462992 hasConceptScore W2035462992C185592680 @default.
- W2035462992 hasConceptScore W2035462992C198531522 @default.
- W2035462992 hasConceptScore W2035462992C31903555 @default.
- W2035462992 hasConceptScore W2035462992C41008148 @default.
- W2035462992 hasConceptScore W2035462992C43617362 @default.
- W2035462992 hasConceptScore W2035462992C50644808 @default.
- W2035462992 hasConceptScore W2035462992C86803240 @default.
- W2035462992 hasConceptScore W2035462992C98045186 @default.
- W2035462992 hasIssue "4-5" @default.
- W2035462992 hasLocation W20354629921 @default.
- W2035462992 hasOpenAccess W2035462992 @default.
- W2035462992 hasPrimaryLocation W20354629921 @default.
- W2035462992 hasRelatedWork W2386387936 @default.
- W2035462992 hasRelatedWork W2961085424 @default.
- W2035462992 hasRelatedWork W3046775127 @default.
- W2035462992 hasRelatedWork W3170094116 @default.
- W2035462992 hasRelatedWork W4205958290 @default.
- W2035462992 hasRelatedWork W4285260836 @default.
- W2035462992 hasRelatedWork W4286629047 @default.
- W2035462992 hasRelatedWork W4306321456 @default.
- W2035462992 hasRelatedWork W4306674287 @default.
- W2035462992 hasRelatedWork W4224009465 @default.
- W2035462992 hasVolume "49" @default.
- W2035462992 isParatext "false" @default.
- W2035462992 isRetracted "false" @default.
- W2035462992 magId "2035462992" @default.
- W2035462992 workType "article" @default.