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Nonlinear Robust Identification using Evolutionary Algorithms. Application to a Biomedical Process

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Nonlinear Robust Identification using Evolutionary Algorithms. Application to a Biomedical Process

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Herrero Durá, JM.; Blasco, X.; Martínez Iranzo, MA.; Ramos Fernández, C.; Sanchís Saez, J. (2008). Nonlinear Robust Identification using Evolutionary Algorithms. Application to a Biomedical Process. Engineering Applications of Artificial Intelligence. 21(8):1397-1408. https://doi.org/10.1016/j.engappai.2008.05.001

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/125656

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Title: Nonlinear Robust Identification using Evolutionary Algorithms. Application to a Biomedical Process
Author: Herrero Durá, Juan Manuel Blasco, Xavier Martínez Iranzo, Miguel Andrés Ramos Fernández, César Sanchís Saez, Javier
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica
Issued date:
Abstract:
[EN] This work describes a new methodology for robust identification (RI), meaning the identification of the parameters of a model and the characterization of uncertainties. The alternative proposed handles non-linear ...[+]
Subjects: Robust identification , Multimodal optimization , Multiobjective optimization , Evolutionary algorithms , Biomedical processes
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Engineering Applications of Artificial Intelligence. (issn: 0952-1976 )
DOI: 10.1016/j.engappai.2008.05.001
Publisher:
Elsevier
Publisher version: http://doi.org/10.1016/j.engappai.2008.05.001
Project ID:
GV/GV06/026
MECD/DPI2005-07835
MECD/DPI2004-08383-C03-02
Thanks:
Partially supported by MEC (Spanish government) and FEDER funds: Projects DP12005-07835, DP12004-8383-CO3-02 and Generalitat Valenciana (Spain) Project GVA-026.
Type: Artículo

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