Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/41395
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Suárez-Araujo, Carmen Paz | en_US |
dc.contributor.author | García Báez, Patricio | en_US |
dc.contributor.author | Sánchez Rodríguez, Álvaro | en_US |
dc.contributor.author | Santana-Rodrríguez, José Juan | en_US |
dc.date.accessioned | 2018-06-27T10:02:50Z | - |
dc.date.available | 2018-06-27T10:02:50Z | - |
dc.date.issued | 2016 | en_US |
dc.identifier.issn | 0944-1344 | en_US |
dc.identifier.uri | http://hdl.handle.net/10553/41395 | - |
dc.description.abstract | Benzimidazole fungicides (BFs) are a type of pesticide of high environmental interest characterized by a heavy fluorescence spectral overlap which complicates its detection in mixtures. In this paper, we present a computational study based on supervised neural networks for a multi-label classification problem. Specifically, backpropagation networks (BPNs) with data fusion and ensemble schemes are used for the simultaneous resolution of difficult multi-fungicide mixtures. We designed, optimized and compared simple BPNs, BPNs with data fusion and BPNs ensembles. The information environment used is made up of synchronous and conventional BF fluorescence spectra. The mixture spectra are not used in the training nor the validation stage. This study allows us to determine the convenience of fusioning the labels of carbendazim and benomyl for the identification of BFs in complex multi-fungicide mixtures. | en_US |
dc.language | eng | en_US |
dc.relation.ispartof | Environmental Science and Pollution Research | en_US |
dc.source | Environmental Science and Pollution Research[ISSN 0944-1344],v. 23, p. 24547-24559 | en_US |
dc.subject | 251002 Oceanografía química | en_US |
dc.subject | 2301 química analítica | en_US |
dc.subject | 3308 Ingeniería y tecnología del medio ambiente | en_US |
dc.subject.other | Artificial neural networks | en_US |
dc.subject.other | Data fusion | en_US |
dc.subject.other | Ensembles | en_US |
dc.subject.other | Environment | en_US |
dc.subject.other | Fluorescence spectrometry | en_US |
dc.subject.other | Fungicides | en_US |
dc.subject.other | Mixture resolution | en_US |
dc.title | Supervised neural computing solutions for fluorescence identification of benzimidazole fungicides. Data and decision fusion strategies | en_US |
dc.type | info:eu-repo/semantics/Article | es |
dc.type | Article | es |
dc.relation.conference | 1st International Caparica Conference on Pollutant Toxic Ions and Molecules (PTIM) | |
dc.identifier.doi | 10.1007/s11356-016-7129-8 | |
dc.identifier.scopus | 84978040212 | - |
dc.identifier.isi | 000389301700011 | - |
dc.contributor.authorscopusid | 6603605708 | |
dc.contributor.authorscopusid | 6506952458 | |
dc.contributor.authorscopusid | 26039375100 | |
dc.contributor.authorscopusid | 56248783900 | |
dc.description.lastpage | 24559 | - |
dc.identifier.issue | 24 | - |
dc.description.firstpage | 24547 | - |
dc.relation.volume | 23 | - |
dc.investigacion | Ciencias | en_US |
dc.type2 | Artículo | en_US |
dc.contributor.daisngid | 9879072 | |
dc.contributor.daisngid | 2362390 | |
dc.contributor.daisngid | 6474544 | |
dc.contributor.daisngid | 10914640 | |
dc.contributor.wosstandard | WOS:Suarez-Araujo, CP | |
dc.contributor.wosstandard | WOS:Baez, PG | |
dc.contributor.wosstandard | WOS:Rodriguez, AS | |
dc.contributor.wosstandard | WOS:Santana-Rodriguez, JJ | |
dc.date.coverdate | Diciembre 2016 | |
dc.identifier.ulpgc | Sí | es |
dc.description.sjr | 0,813 | |
dc.description.jcr | 2,741 | |
dc.description.sjrq | Q1 | |
dc.description.jcrq | Q2 | |
dc.description.scie | SCIE | |
item.fulltext | Sin texto completo | - |
item.grantfulltext | none | - |
crisitem.author.dept | GIR IUCES: Computación inteligente, percepción y big data | - |
crisitem.author.dept | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.dept | Departamento de Informática y Sistemas | - |
crisitem.author.dept | GIR IUCES: Computación inteligente, percepción y big data | - |
crisitem.author.dept | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.dept | GIR IUNAT: Análisis Químico Medioambiental | - |
crisitem.author.dept | IU de Estudios Ambientales y Recursos Naturales | - |
crisitem.author.dept | Departamento de Química | - |
crisitem.author.orcid | 0000-0002-8826-0899 | - |
crisitem.author.orcid | 0000-0002-9973-5319 | - |
crisitem.author.orcid | 0000-0002-5635-7215 | - |
crisitem.author.parentorg | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.parentorg | IU de Cibernética, Empresa y Sociedad (IUCES) | - |
crisitem.author.parentorg | IU de Estudios Ambientales y Recursos Naturales | - |
crisitem.author.fullName | Suárez Araujo, Carmen Paz | - |
crisitem.author.fullName | García Baez, Patricio | - |
crisitem.author.fullName | Santana Rodríguez, José Juan | - |
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