| dc.contributor.author | Fernández-Blanco, Enrique | |
| dc.contributor.author | Dorado, Julián | |
| dc.contributor.author | Serantes, José Andrés | |
| dc.contributor.author | Rivero, Daniel | |
| dc.contributor.author | Rabuñal, Juan R. | |
| dc.date.accessioned | 2023-07-20T13:02:18Z | |
| dc.date.available | 2023-07-20T13:02:18Z | |
| dc.date.issued | 2011-06-01 | |
| dc.identifier.citation | Fernandez-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_6 | es_ES |
| dc.identifier.isbn | 978-3-642-21283-3 | |
| dc.identifier.uri | http://hdl.handle.net/2183/33370 | |
| 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 problems | es_ES |
| dc.description.sponsorship | Instituto de Salud Carlos III; RD07/0067/0005 | es_ES |
| dc.description.sponsorship | Instituto de Salud Carlos III; PIO52048 | es_ES |
| dc.description.sponsorship | Xunta de Galicia;PGIDIT05SIN10501PR | es_ES |
| dc.description.sponsorship | Xunta de Galicia;PGDIT 07TMT011CT | es_ES |
| dc.description.sponsorship | This 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.language.iso | eng | es_ES |
| dc.publisher | Springer | es_ES |
| dc.rights | Atribución-NoComercial-SinDerivadas 3.0 España | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
| dc.subject | Artificial embryogeny | es_ES |
| dc.subject | Genetic algorithms | es_ES |
| dc.title | Artificial cells for information processing: iris classification | es_ES |
| dc.type | journal article | es_ES |
| dc.rights.accessRights | open access | es_ES |
| UDC.journalTitle | Lecture Notes in Computer Science | es_ES |
| UDC.volume | 5777 | es_ES |
| UDC.startPage | 44 | es_ES |
| UDC.endPage | 52 | es_ES |
| UDC.conferenceTitle | Advances in Artificial Life: Darwin Meets von Neumann (10th European Conference on Artificial Life) | es_ES |
| UDC.coleccion | Investigación | es_ES |
| UDC.departamento | Ciencias da Computación e Tecnoloxías da Información | es_ES |
| UDC.grupoInv | Redes de Neuronas Artificiais e Sistemas Adaptativos -Informática Médica e Diagnóstico Radiolóxico (RNASA - IMEDIR) | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/MEC//TIN2006-13274/ES/SISTEMA CELULAR ARTIFICIAL PARA PROCESADO DE INFORMACION Y CRECIMIENTO DE ESTRUCTURAS | es_ES |
