Application of artificial neural networks in modeling and optimization of batch crystallization processes
Autor(a) principal: | |
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Data de Publicação: | 2006 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://proa.ua.pt/index.php/revdeti/article/view/17244 |
Resumo: | This paper is focused on issues of dynamic process modeling and model-based optimization of batch and fed-batch industrial crystallization processes applying the concept of artificial neural networks as computational tools. The objective is to drive the process to its optimal state of profit maximization and cost minimization. The simulation results demonstrate that the very tight and conflicting end-point objectives are simultaneously feasible in the presence of hard process constrains. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Application of artificial neural networks in modeling and optimization of batch crystallization processesThis paper is focused on issues of dynamic process modeling and model-based optimization of batch and fed-batch industrial crystallization processes applying the concept of artificial neural networks as computational tools. The objective is to drive the process to its optimal state of profit maximization and cost minimization. The simulation results demonstrate that the very tight and conflicting end-point objectives are simultaneously feasible in the presence of hard process constrains.Este artigo é focado em assuntos de modelação do comportamento dinâmico e optimização baseada em modelo de processos industriais de cristalização em lotes. A estratégia das redes neuronais artificiais foi implementada como a ferramenta computacional. O objectivo é conduzir o processo ao estado óptimo de maximização do lucro e minimização dos custos. Os resultados de simulação demonstram que os objectivos conflituosos, que dizem respeito ao tempo final do processo, são simultaneamente atingíveis na presença de restrições fortes impostos ao processo.UA Editora2006-01-01T00:00:00Zjournal articleinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://proa.ua.pt/index.php/revdeti/article/view/17244oai:proa.ua.pt:article/17244Eletrónica e Telecomunicações; Vol 4 No 6 (2006); 697-706Eletrónica e Telecomunicações; vol. 4 n.º 6 (2006); 697-7062182-97721645-0493reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttps://proa.ua.pt/index.php/revdeti/article/view/17244https://proa.ua.pt/index.php/revdeti/article/view/17244/12291https://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessGeorgieva, PetiaAzevedo, Sebastião Feyo de2022-09-26T11:00:12Zoai:proa.ua.pt:article/17244Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:08:08.730256Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Application of artificial neural networks in modeling and optimization of batch crystallization processes |
title |
Application of artificial neural networks in modeling and optimization of batch crystallization processes |
spellingShingle |
Application of artificial neural networks in modeling and optimization of batch crystallization processes Georgieva, Petia |
title_short |
Application of artificial neural networks in modeling and optimization of batch crystallization processes |
title_full |
Application of artificial neural networks in modeling and optimization of batch crystallization processes |
title_fullStr |
Application of artificial neural networks in modeling and optimization of batch crystallization processes |
title_full_unstemmed |
Application of artificial neural networks in modeling and optimization of batch crystallization processes |
title_sort |
Application of artificial neural networks in modeling and optimization of batch crystallization processes |
author |
Georgieva, Petia |
author_facet |
Georgieva, Petia Azevedo, Sebastião Feyo de |
author_role |
author |
author2 |
Azevedo, Sebastião Feyo de |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Georgieva, Petia Azevedo, Sebastião Feyo de |
description |
This paper is focused on issues of dynamic process modeling and model-based optimization of batch and fed-batch industrial crystallization processes applying the concept of artificial neural networks as computational tools. The objective is to drive the process to its optimal state of profit maximization and cost minimization. The simulation results demonstrate that the very tight and conflicting end-point objectives are simultaneously feasible in the presence of hard process constrains. |
publishDate |
2006 |
dc.date.none.fl_str_mv |
2006-01-01T00:00:00Z |
dc.type.driver.fl_str_mv |
journal article info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://proa.ua.pt/index.php/revdeti/article/view/17244 oai:proa.ua.pt:article/17244 |
url |
https://proa.ua.pt/index.php/revdeti/article/view/17244 |
identifier_str_mv |
oai:proa.ua.pt:article/17244 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://proa.ua.pt/index.php/revdeti/article/view/17244 https://proa.ua.pt/index.php/revdeti/article/view/17244/12291 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
UA Editora |
publisher.none.fl_str_mv |
UA Editora |
dc.source.none.fl_str_mv |
Eletrónica e Telecomunicações; Vol 4 No 6 (2006); 697-706 Eletrónica e Telecomunicações; vol. 4 n.º 6 (2006); 697-706 2182-9772 1645-0493 reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
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1799130539089723392 |