Artificial cells for information processing: iris classification

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UDC.coleccionInvestigaciónes_ES
UDC.conferenceTitleAdvances in Artificial Life: Darwin Meets von Neumann (10th European Conference on Artificial Life)es_ES
UDC.departamentoCiencias da Computación e Tecnoloxías da Informaciónes_ES
UDC.endPage52es_ES
UDC.grupoInvRedes de Neuronas Artificiais e Sistemas Adaptativos -Informática Médica e Diagnóstico Radiolóxico (RNASA - IMEDIR)es_ES
UDC.journalTitleLecture Notes in Computer Sciencees_ES
UDC.startPage44es_ES
UDC.volume5777es_ES
dc.contributor.authorFernández-Blanco, Enrique
dc.contributor.authorDorado, Julián
dc.contributor.authorSerantes, José Andrés
dc.contributor.authorRivero, Daniel
dc.contributor.authorRabuñal, Juan R.
dc.date.accessioned2023-07-20T13:02:18Z
dc.date.available2023-07-20T13:02:18Z
dc.date.issued2011-06-01
dc.description.abstract[Abstract]: This paper presents a model in the Artificial Embryogene (AE) framework. The presented system tries to model the main functions of the biological cell model. The main part of this paper describes the Gene Regulatory Network (GRN) model, which has a similar processing information capacity as Boole’s Algebra. This paper also describes how to use it to perform the Iris Classification problem which is a pattern classification problem. The aim of this work is to show that the model can solve this kind of problemses_ES
dc.description.sponsorshipInstituto de Salud Carlos III; RD07/0067/0005es_ES
dc.description.sponsorshipInstituto de Salud Carlos III; PIO52048es_ES
dc.description.sponsorshipXunta de Galicia;PGIDIT05SIN10501PRes_ES
dc.description.sponsorshipXunta de Galicia;PGDIT 07TMT011CTes_ES
dc.description.sponsorshipThis work was partially supported by the Spanish Ministry of Education and Culture (Ref TIN2006-13274) and the European Regional Development Funds (ERDF), grant (Ref. PIO52048 and RD07/0067/0005) funded by the Carlos III Health Institute, grant (Ref. PGIDIT 05 SIN 10501PR) and (Ref. PGDIT 07TMT011CT) from the General Directorate of Research of the Xunta de Galicia and grant (File 2006/60, 2007/127 and 2007/144) from the General Directorate of Scientific and Technologic Promotion of the Galician University System of the Xunta de Galicia. Thanks to the Galician Supercomputation Center (CESGA) which has execute a great part of the tests.es_ES
dc.identifier.citationFernandez-Blanco, E., Dorado, J., Serantes, J.A., Rivero, D., Rabuñal, J.R. (2011). Artificial Cells for Information Processing: Iris Classification. In: Kampis, G., Karsai, I., Szathmáry, E. (eds) Advances in Artificial Life. Darwin Meets von Neumann. ECAL 2009. Lecture Notes in Computer Science(), vol 5777. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21283-3_6es_ES
dc.identifier.isbn978-3-642-21283-3
dc.identifier.urihttp://hdl.handle.net/2183/33370
dc.language.isoenges_ES
dc.publisherSpringeres_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/MEC//TIN2006-13274/ES/SISTEMA CELULAR ARTIFICIAL PARA PROCESADO DE INFORMACION Y CRECIMIENTO DE ESTRUCTURASes_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Españaes_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectArtificial embryogenyes_ES
dc.subjectGenetic algorithmses_ES
dc.titleArtificial cells for information processing: iris classificationes_ES
dc.typejournal articlees_ES
dspace.entity.typePublication
relation.isAuthorOfPublication244a6828-de1c-45f3-86b6-69bb81250814
relation.isAuthorOfPublication5139dea6-2326-4384-a423-317cec26ee8a
relation.isAuthorOfPublicationd8e10433-ea19-4a35-8cc6-0c7b9f143a6d
relation.isAuthorOfPublication397020b4-7e95-43bc-848d-969c5c1bbd7d
relation.isAuthorOfPublication.latestForDiscovery244a6828-de1c-45f3-86b6-69bb81250814

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