Artificial cells for information processing: iris classification
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http://hdl.handle.net/2183/33370
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Coleccións
- Investigación (FIC) [1685]
Metadatos
Mostrar o rexistro completo do ítemTítulo
Artificial cells for information processing: iris classificationData
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
Resumo
[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 chave
Artificial embryogeny
Genetic algorithms
Genetic algorithms
Dereitos
Atribución-NoComercial-SinDerivadas 3.0 España
ISBN
978-3-642-21283-3
