A contribution to the use of Hopfield neural networks for paramater estimation
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | , |
Tipo de documento: | Livro |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/10216/71264 |
Resumo: | This paper presents a contribution to the use of Hopfield neural networks (HNNs) for parameter estimation. Our focus is on time-invariant systems that are linear in the parameters. We introduce a suitable HNN and present a weaker condition than the currently existing ones that guarantees the convergence of the parameterization estimated by the network to the actual parameterization. The application of our results is illustrated in a parameter estimation problem for a two carts system. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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A contribution to the use of Hopfield neural networks for paramater estimationOutras ciências da engenharia e tecnologiasOther engineering and technologiesThis paper presents a contribution to the use of Hopfield neural networks (HNNs) for parameter estimation. Our focus is on time-invariant systems that are linear in the parameters. We introduce a suitable HNN and present a weaker condition than the currently existing ones that guarantees the convergence of the parameterization estimated by the network to the actual parameterization. The application of our results is illustrated in a parameter estimation problem for a two carts system.20072007-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/71264engHugo AlonsoTeresa MendonçaPaula Rochainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T12:43:35Zoai:repositorio-aberto.up.pt:10216/71264Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:25:32.039783Repositório 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 |
A contribution to the use of Hopfield neural networks for paramater estimation |
title |
A contribution to the use of Hopfield neural networks for paramater estimation |
spellingShingle |
A contribution to the use of Hopfield neural networks for paramater estimation Hugo Alonso Outras ciências da engenharia e tecnologias Other engineering and technologies |
title_short |
A contribution to the use of Hopfield neural networks for paramater estimation |
title_full |
A contribution to the use of Hopfield neural networks for paramater estimation |
title_fullStr |
A contribution to the use of Hopfield neural networks for paramater estimation |
title_full_unstemmed |
A contribution to the use of Hopfield neural networks for paramater estimation |
title_sort |
A contribution to the use of Hopfield neural networks for paramater estimation |
author |
Hugo Alonso |
author_facet |
Hugo Alonso Teresa Mendonça Paula Rocha |
author_role |
author |
author2 |
Teresa Mendonça Paula Rocha |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Hugo Alonso Teresa Mendonça Paula Rocha |
dc.subject.por.fl_str_mv |
Outras ciências da engenharia e tecnologias Other engineering and technologies |
topic |
Outras ciências da engenharia e tecnologias Other engineering and technologies |
description |
This paper presents a contribution to the use of Hopfield neural networks (HNNs) for parameter estimation. Our focus is on time-invariant systems that are linear in the parameters. We introduce a suitable HNN and present a weaker condition than the currently existing ones that guarantees the convergence of the parameterization estimated by the network to the actual parameterization. The application of our results is illustrated in a parameter estimation problem for a two carts system. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007 2007-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/book |
format |
book |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10216/71264 |
url |
https://hdl.handle.net/10216/71264 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
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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1799135560195899392 |