Time series analysis for the comex gold spot price forecasting by using narx de/svr and de/gpr techniques

dc.contributor.author	García Gonzalo, María Esperanza
dc.contributor.author	García Nieto, Paulino José
dc.contributor.author	Fidalgo Valverde, Gregorio
dc.contributor.author	Riesgo Fernández, Pedro
dc.contributor.author	Sánchez Lasheras, Fernando
dc.date.accessioned	2022-03-11T07:30:01Z
dc.date.available	2022-03-11T07:30:01Z
dc.date.issued	2022
dc.identifier.isbn	9783030878696
dc.identifier.isbn	9783030878689
dc.identifier.issn	2194-5357
dc.identifier.issn	2194-5365
dc.identifier.uri	http://hdl.handle.net/10651/62236
dc.description	International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2021) (16th. 2021. Bilbao)
dc.format.extent	p. 145-154
dc.language.iso	eng
dc.relation.ispartof	16th international conference on soft computing models in industrial and environmental applications (soco 2021)
dc.rights	© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
dc.source	WOS:000719656700014
dc.title	Time series analysis for the comex gold spot price forecasting by using narx de/svr and de/gpr techniques
dc.type	conference output	spa
dc.identifier.doi	10.1007/978-3-030-87869-6_14
dc.relation.publisherversion	http://dx.doi.org/10.1007/978-3-030-87869-6_14

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