Predictive modelling of the higher heating value in biomass torrefaction for the energy treatment process using machine-learning techniques

dc.contributor.author	García Nieto, Paulino José
dc.contributor.author	García Gonzalo, María Esperanza
dc.contributor.author	Paredes Sánchez, José Pablo
dc.contributor.author	Bernardo Sánchez, Antonio
dc.contributor.author	Menéndez Fernández, M.
dc.date.accessioned	2019-03-05T13:08:14Z
dc.date.available	2019-03-05T13:08:14Z
dc.date.issued	2018
dc.identifier.citation	Neural Computing and Applications (2018); doi:10.1007/s00521-018-3870-x
dc.identifier.issn	0941-0643
dc.identifier.uri	http://hdl.handle.net/10651/50683
dc.language.iso	eng
dc.relation.ispartof	Neural Computing and Applications
dc.rights	© Springer-Verlag London Ltd., part of Springer Nature 2018
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056621047&doi=10.1007%2fs00521-018-3870-x&partnerID=40&md5=a584c3e8698e999f9a95ade270f0f02b
dc.title	Predictive modelling of the higher heating value in biomass torrefaction for the energy treatment process using machine-learning techniques
dc.type	journal article
dc.identifier.doi	10.1007/s00521-018-3870-x
dc.relation.publisherversion	http://dx.doi.org/10.1007/s00521-018-3870-x

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