Evolutionary product unit based neural networks for regression

dc.contributor.author	Martínez Estudillo, Alfonso Carlos
dc.contributor.author	Martínez Estudillo, Francisco José
dc.contributor.author	Hervás Martínez, César
dc.contributor.author	García-Pedrajas, Nicolás
dc.date.accessioned	2019-02-04T15:19:12Z
dc.date.available	2019-02-04T15:19:12Z
dc.date.issued	2006
dc.identifier.uri	http://hdl.handle.net/20.500.12412/1015
dc.description.abstract	This paper presents a new method for regression based on the evolution of a type of feed-forward neural networks whose bAsís function units are products of the inputs raised to real number power. These nodes are usually called product units. The main advantage of product units is their capacity for implementing higher order functions.	es
dc.language.iso	eng	es
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.title	Evolutionary product unit based neural networks for regression	es
dc.type	article	es
dc.identifier.doi	10.1016/j.neunet.2005.11.001
dc.issue.number	4	es
dc.journal.title	Ieee Transactions On Neural Networks And Learning Systems	es
dc.page.initial	477	es
dc.page.final	486	es
dc.rights.accessRights	openAccess	es
dc.subject.keyword	product units	es
dc.subject.keyword	regression	es
dc.subject.keyword	evolutionary computation	es
dc.volume.number	19	es

Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional