Matches in SemOpenAlex for { <https://semopenalex.org/work/W2115584297> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W2115584297 endingPage "206" @default.
- W2115584297 startingPage "200" @default.
- W2115584297 abstract " In this research, a layered-recurrent artificial neural network (ANN) using back-propagation method was developed for simulation of a fixed-bed industrial catalytic-reforming unit, called Platformer. Ninety-seven data points were gathered from the industrial catalytic naphtha reforming plant during the complete life cycle of the catalyst (about 919 days). A total of 80% of data were selected as past horizontal data sets, and the others were selected as future horizontal ones. After training, testing and validating the model using past horizontal data, the developed network was applied to predict the volume flow rate and research octane number (RON) of the future horizontal data versus days on stream. Results show that the developed ANN was capable of predicting the volume flow rate and RON of the gasoline for the future horizontal data with the AAD% of 0.238 and 0.813%, respectively. Moreover, the AAD% of the predicted octane barrel against the actual values was 1.447%, confirming the excellent capability of the model to simulate the behavior of the under study catalytic reforming plant. Key words: Modeling, simulation, artificial neural network, catalytic reforming, naphtha cycle life." @default.
- W2115584297 created "2016-06-24" @default.
- W2115584297 creator A5048591199 @default.
- W2115584297 date "2013-07-31" @default.
- W2115584297 modified "2023-10-03" @default.
- W2115584297 title "Predictive modeling for an industrial naphtha reforming plant using a recurrent-layer artificial neural network" @default.
- W2115584297 cites W1547364372 @default.
- W2115584297 cites W1825077972 @default.
- W2115584297 cites W2003500973 @default.
- W2115584297 cites W2017474415 @default.
- W2115584297 cites W2018704151 @default.
- W2115584297 cites W2020903229 @default.
- W2115584297 cites W2029095948 @default.
- W2115584297 cites W2050833956 @default.
- W2115584297 cites W2056243854 @default.
- W2115584297 cites W2072496610 @default.
- W2115584297 cites W2077763051 @default.
- W2115584297 cites W2126956750 @default.
- W2115584297 cites W2148036996 @default.
- W2115584297 cites W2379683470 @default.
- W2115584297 doi "https://doi.org/10.5897/jetr2013-0310" @default.
- W2115584297 hasPublicationYear "2013" @default.
- W2115584297 type Work @default.
- W2115584297 sameAs 2115584297 @default.
- W2115584297 citedByCount "0" @default.
- W2115584297 crossrefType "journal-article" @default.
- W2115584297 hasAuthorship W2115584297A5048591199 @default.
- W2115584297 hasBestOaLocation W21155842971 @default.
- W2115584297 hasConcept C103697071 @default.
- W2115584297 hasConcept C121332964 @default.
- W2115584297 hasConcept C127413603 @default.
- W2115584297 hasConcept C134484671 @default.
- W2115584297 hasConcept C154945302 @default.
- W2115584297 hasConcept C161790260 @default.
- W2115584297 hasConcept C163721339 @default.
- W2115584297 hasConcept C172120300 @default.
- W2115584297 hasConcept C178790620 @default.
- W2115584297 hasConcept C185592680 @default.
- W2115584297 hasConcept C20556612 @default.
- W2115584297 hasConcept C21880701 @default.
- W2115584297 hasConcept C2776624427 @default.
- W2115584297 hasConcept C39432304 @default.
- W2115584297 hasConcept C41008148 @default.
- W2115584297 hasConcept C50644808 @default.
- W2115584297 hasConcept C548081761 @default.
- W2115584297 hasConcept C57879066 @default.
- W2115584297 hasConcept C78762247 @default.
- W2115584297 hasConcept C97355855 @default.
- W2115584297 hasConceptScore W2115584297C103697071 @default.
- W2115584297 hasConceptScore W2115584297C121332964 @default.
- W2115584297 hasConceptScore W2115584297C127413603 @default.
- W2115584297 hasConceptScore W2115584297C134484671 @default.
- W2115584297 hasConceptScore W2115584297C154945302 @default.
- W2115584297 hasConceptScore W2115584297C161790260 @default.
- W2115584297 hasConceptScore W2115584297C163721339 @default.
- W2115584297 hasConceptScore W2115584297C172120300 @default.
- W2115584297 hasConceptScore W2115584297C178790620 @default.
- W2115584297 hasConceptScore W2115584297C185592680 @default.
- W2115584297 hasConceptScore W2115584297C20556612 @default.
- W2115584297 hasConceptScore W2115584297C21880701 @default.
- W2115584297 hasConceptScore W2115584297C2776624427 @default.
- W2115584297 hasConceptScore W2115584297C39432304 @default.
- W2115584297 hasConceptScore W2115584297C41008148 @default.
- W2115584297 hasConceptScore W2115584297C50644808 @default.
- W2115584297 hasConceptScore W2115584297C548081761 @default.
- W2115584297 hasConceptScore W2115584297C57879066 @default.
- W2115584297 hasConceptScore W2115584297C78762247 @default.
- W2115584297 hasConceptScore W2115584297C97355855 @default.
- W2115584297 hasIssue "6" @default.
- W2115584297 hasLocation W21155842971 @default.
- W2115584297 hasOpenAccess W2115584297 @default.
- W2115584297 hasPrimaryLocation W21155842971 @default.
- W2115584297 hasRelatedWork W1989548388 @default.
- W2115584297 hasRelatedWork W2049160711 @default.
- W2115584297 hasRelatedWork W2169562944 @default.
- W2115584297 hasRelatedWork W2245627613 @default.
- W2115584297 hasRelatedWork W2959881986 @default.
- W2115584297 hasRelatedWork W3102601580 @default.
- W2115584297 hasRelatedWork W3173704955 @default.
- W2115584297 hasRelatedWork W56062678 @default.
- W2115584297 hasRelatedWork W93421244 @default.
- W2115584297 hasRelatedWork W2551674254 @default.
- W2115584297 hasVolume "5" @default.
- W2115584297 isParatext "false" @default.
- W2115584297 isRetracted "false" @default.
- W2115584297 magId "2115584297" @default.
- W2115584297 workType "article" @default.