Regression and ANN models for electronic circuit design

dc.contributor.author	Dieste Velasco, Mª Isabel
dc.contributor.author	Diez Mediavilla, Montserrat
dc.contributor.author	Alonso Tristán, Cristina
dc.date.accessioned	2018-07-30T10:14:44Z
dc.date.available	2018-07-30T10:14:44Z
dc.date.issued	2018
dc.identifier.issn	1076-2787
dc.identifier.uri	http://hdl.handle.net/10259/4872
dc.description.abstract	This paper presents a methodology to design and to predict the behaviour of electronic circuits, which combines artificial neural networks and design of experiments. This methodology can be used to model output variables in electronic circuits either with similar features to the circuit configuration that is analysed in this study or with more complex configurations in order to improve the process of electronic circuit design.	en
dc.format.mimetype	application/pdf
dc.language.iso	eng	es
dc.publisher	Hindawi Publishing Corporation	en
dc.relation.ispartof	Complexity. 2018, V. 2018, art. ID 7379512	en
dc.rights	Attribution 4.0 International
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.subject.other	Electrotecnia	es
dc.subject.other	Electrical engineering	en
dc.title	Regression and ANN models for electronic circuit design	en
dc.type	info:eu-repo/semantics/article
dc.rights.accessRights	info:eu-repo/semantics/openAccess
dc.relation.publisherversion	https://doi.org/10.1155/2018/7379512
dc.identifier.doi	10.1155/2018/7379512
dc.type.hasVersion	info:eu-repo/semantics/publishedVersion	en