Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/74613
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dc.contributor.authorSuárez Araujo, C. P.en_US
dc.contributor.authorSantana Rodríguez, J.J.en_US
dc.contributor.authorGarcía Báez, P.en_US
dc.contributor.authorBetancort Rodriguez,Juana Rosaen_US
dc.date.accessioned2020-09-30T12:26:44Z-
dc.date.available2020-09-30T12:26:44Z-
dc.date.issued2003en_US
dc.identifier.urihttp://hdl.handle.net/10553/74613-
dc.description.abstractPolychlorinated Biphenyls (PCBs) and Polychlorinated Dibenzofurans (PCDFs) are chlorinated aromatic compounds and are emitted into the environment. It has been shown lo have toxicity and carcinogenic potential characteristics. Because of this their identification and quantification is a matter of great concern. However. the similar structure of PCBs and PCDFs can produce overlapping in fluorescence spectra, which add difficult to their determination. We present in this paper. an HUMANN-based computational neural systeni [1][2] for the identification of these compounds. HUMANN is a multilayer neural net with high biologicnl plausibility. Its adaptive character is essentially embodiment in the labelling module, because of its dynamic dimension The determination of the different analytes will be indicated by the firing neurons in the labelling layer and by the activation level of these neurons. In this work its have also been developed a model for spectral data. íiuorescence spectrurn of single compounds and complex niixture. via Gaussian distribution. Our final proposal consists in putting to work together fluorescence spectrometry and neural computation approach, and to analyse the good results and the troubles found in this new method using three type of spectra: excitation, emission and synchronous.en_US
dc.languageengen_US
dc.sourceNeural network engineering experiences: Proceedings of the Eighy International Conference o Engineering Applications of Neural Networks (EANN'03), Universidad de Malaga, 8-10 Septiembre, p. 290-297en_US
dc.subject2301 química analíticaen_US
dc.subject120317 Informáticaen_US
dc.subject.otherUnsupervised Artificial Neural Networken_US
dc.subject.otherHUMANNen_US
dc.subject.otherPolychlorinated Byphenylsen_US
dc.subject.otherPolychlorinated Dibenzofuransen_US
dc.subject.otherFluorescence Spectrometryen_US
dc.titleHUMANN-based computational neural system for the determination of pollutants using fluorescence measurementsen_US
dc.typeinfo:eu-repo/semantics/conferenceobjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference8th International Conference of Engineering Applications of Neural Networks (EANN'03)en_US
dc.description.lastpage297en_US
dc.description.firstpage290en_US
dc.investigacionCienciasen_US
dc.type2Actas de congresosen_US
dc.description.numberofpages8en_US
dc.identifier.ulpgces
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.event.eventsstartdate08-09-2003-
crisitem.event.eventsenddate10-09-2003-
crisitem.author.deptGIR IUCES: Computación inteligente, percepción y big data-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.deptDepartamento de Informática y Sistemas-
crisitem.author.deptGIR IUNAT: Análisis Químico Medioambiental-
crisitem.author.deptIU de Estudios Ambientales y Recursos Naturales-
crisitem.author.deptDepartamento de Química-
crisitem.author.deptGIR IUCES: Computación inteligente, percepción y big data-
crisitem.author.deptIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.orcid0000-0002-8826-0899-
crisitem.author.orcid0000-0002-5635-7215-
crisitem.author.orcid0000-0002-9973-5319-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.parentorgIU de Estudios Ambientales y Recursos Naturales-
crisitem.author.parentorgIU de Cibernética, Empresa y Sociedad (IUCES)-
crisitem.author.fullNameSuárez Araujo, Carmen Paz-
crisitem.author.fullNameSantana Rodríguez, José Juan-
crisitem.author.fullNameGarcía Baez, Patricio-
crisitem.author.fullNameBetancort Rodriguez,Juana Rosa-
Appears in Collections:Actas de congresos
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