Artificial cells for information processing: iris classification
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http://hdl.handle.net/2183/33370
Excepto si se señala otra cosa, la licencia del ítem se describe como Atribución-NoComercial-SinDerivadas 3.0 España
Colecciones
- Investigación (FIC) [1679]
Metadatos
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Artificial cells for information processing: iris classificationFecha
2011-06-01Cita bibliográfica
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
Resumen
[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
Palabras clave
Artificial embryogeny
Genetic algorithms
Genetic algorithms
Derechos
Atribución-NoComercial-SinDerivadas 3.0 España
ISBN
978-3-642-21283-3
