A contribution to the use of Hopfield neural networks for paramater estimation

Detalhes bibliográficos
Autor(a) principal: Hugo Alonso
Data de Publicação: 2007
Outros Autores: Teresa Mendonça, Paula Rocha
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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spelling 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
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dc.type.driver.fl_str_mv info:eu-repo/semantics/book
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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
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