Multiple strategies for parameter estimation via a hybrid method: A comparative study

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2006

Autores

Alonso, H (Autor) Outra; Magalhaes, H (Autor) Outra; Mendonca, T (Autor) FCUP; Rocha, P (Autor) Outra

Ata de Conferência Internacional

Título: IFAC Proceedings Volumes (IFAC-PapersOnline)

Páginas: 87-92

6th IFAC Symposium on Modeling and Control in Biomedical Systems, MCBMS 2006

Reims, 20 August 2006 through 22 August 2006

Indexação

ISI Web of Knowledge

Scopus - 1 Citação

Outras Informações

ID Authenticus: P-007-K52

Abstract (EN): In this paper, two different strategies are considered for application of a previously proposed hybrid method designed to parameter estimation. This method combines the feedforward neural networks ability to produce initial parameter estimates close to the true values with the fast convergence of the Levenberg-Marquardt method using such estimates. The first strategy is of general applicability, while the second one is intended for models having a structure defined by various blocks in series. The neuromuscular blockade model parameter estimation problem is taken as the case study for comparing the performances of the two strategies. Copyright ©2006 IFAC.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6