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dc.contributor.author | Sanchez-Caballero, Samuel![]() |
es_ES |
dc.contributor.author | Crespo Amorós, José Enrique![]() |
es_ES |
dc.contributor.author | Parres, F.![]() |
es_ES |
dc.contributor.author | Sellés Cantó, Miguel Ángel![]() |
es_ES |
dc.contributor.author | Pla-Ferrando, R![]() |
es_ES |
dc.date.accessioned | 2014-02-24T07:26:17Z | |
dc.date.available | 2014-02-24T07:26:17Z | |
dc.date.issued | 2011 | |
dc.identifier.issn | 1583 - 0691 | |
dc.identifier.uri | http://hdl.handle.net/10251/35895 | |
dc.description.abstract | The aim of this paper is to introduce a method to forecast the mechanical properties of a composite based on its constitutive materials using a neural network. As input data, a limited number of tests to train the network are needed. From them it will be possible to make forecasts, with a less than 1% of error, the material properties. The forecasts can be done, not only inside the training range but also outside but with an unbounded error rate. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Editura Universitatii din Oradea | es_ES |
dc.relation.ispartof | Annals of The University of Oradea | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Neural network | es_ES |
dc.subject | ANN | es_ES |
dc.subject | Composite | es_ES |
dc.subject | Forecast | es_ES |
dc.subject.classification | CIENCIA DE LOS MATERIALES E INGENIERIA METALURGICA | es_ES |
dc.subject.classification | INGENIERIA DE LOS PROCESOS DE FABRICACION | es_ES |
dc.subject.classification | INGENIERIA MECANICA | es_ES |
dc.title | Mechanical properties forecast in composites using neural networks | es_ES |
dc.type | Artículo | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería Mecánica y de Materiales - Departament d'Enginyeria Mecànica i de Materials | es_ES |
dc.description.bibliographicCitation | Sanchez-Caballero, S.; Crespo Amorós, JE.; Parres, F.; Sellés Cantó, MÁ.; Pla-Ferrando, R. (2011). Mechanical properties forecast in composites using neural networks. Annals of The University of Oradea. 10(20):146-151. http://hdl.handle.net/10251/35895 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://imtuoradea.ro/auo.fmte/files-2011-v1/TCM/Sanchez-Caballero%20Samuel%20L1.pdf | es_ES |
dc.description.upvformatpinicio | 146 | es_ES |
dc.description.upvformatpfin | 151 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 10 | es_ES |
dc.description.issue | 20 | es_ES |
dc.relation.senia | 212616 | |
dc.identifier.eissn | 1843 ¿ 813X |