Adaptive neurofuzzy ANFIS modeling of laser surface treatments

Pérez Castellanos, José Antonio; González, Manuel; Dopico, Daniel

doi:10.1007/s00521-009-0259-x

Artículo

dc.creator	Pérez Castellanos, José Antonio	es
dc.creator	González, Manuel	es
dc.creator	Dopico, Daniel	es
dc.date.accessioned	2020-02-24T10:47:34Z
dc.date.available	2020-02-24T10:47:34Z
dc.date.issued	2010
dc.identifier.citation	Pérez Castellanos, J.A., González, M. y Dopico, D. (2010). Adaptive neurofuzzy ANFIS modeling of laser surface treatments. Neural Computing and Applications, 19 (1), 85-90.
dc.identifier.issn	0941-0643	es
dc.identifier.uri	https://hdl.handle.net/11441/93540
dc.description.abstract	This paper introduces a new ANFIS adaptive neurofuzzy inference model for laser surface heat treatments based on the Green’s function. Due to its high versatility, efficiency and low simulation time, this model is suitable not only for the analysis and design of control systems, but also for the development of an expert real time supervision system that would allow detecting and preventing any failure during the treatment.	es
dc.format	application/pdf	es
dc.language.iso	eng	es
dc.publisher	Springer	es
dc.relation.ispartof	Neural Computing and Applications, 19 (1), 85-90.
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Neurofuzzy modeling of nonlinear processes	es
dc.subject	Laser materials processing applications	es
dc.subject	Surface heat treatments	es
dc.subject	Process monitoring and control	es
dc.title	Adaptive neurofuzzy ANFIS modeling of laser surface treatments	es
dc.type	info:eu-repo/semantics/article	es
dc.type.version	info:eu-repo/semantics/submittedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos	es
dc.relation.publisherversion	https://link.springer.com/article/10.1007/s00521-009-0259-x	es
dc.identifier.doi	10.1007/s00521-009-0259-x	es
idus.format.extent	6	es
dc.journaltitle	Neural Computing and Applications	es
dc.publication.volumen	19	es
dc.publication.issue	1	es
dc.publication.initialPage	85	es
dc.publication.endPage	90	es

Ficheros	Tamaño	Formato	Ver	Descripción
Adaptive neurofuzzy ANFIS.pdf	656.5Kb	[PDF]	Ver/Abrir

Este registro aparece en las siguientes colecciones

Artículos (Lenguajes y Sistemas Informáticos)

Mostrar el registro sencillo del ítem

Excepto si se señala otra cosa, la licencia del ítem se describe como: Attribution-NonCommercial-NoDerivatives 4.0 Internacional