Artificial Cells for Information Processing: Iris Classification

Autor:	Daniel Rivero, Juan R. Rabuñal, Julián Dorado, Enrique Fernandez-Blanco, Jose A. Serantes
Rok vydání:	2011
Předmět:	Artificial development business.industry Computer science Gene regulatory network Information processing Iris classification Biological cell Artificial intelligence Algebra over a field business
Zdroj:	Advances in Artificial Life. Darwin Meets von Neumann ISBN: 9783642212826 ECAL (1)
DOI:	10.1007/978-3-642-21283-3_6
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4b997fe82c68ea75d931a687d5b21ee4 https://doi.org/10.1007/978-3-642-21283-3_6 Zobrazit plný text záznamu