Granados, AnaLedezma Espino, Agapito IsmaelGutiérrez Sánchez, GermánSanchis de Miguel, María Araceli2011-05-242011-05-242006Thrid International Conference Modeling Decisions for Artificial Intelligence, MDAI 2006https://hdl.handle.net/10016/11217Proceeding of: 3th International Conference Modeling Decisions for Artificial Intelligence, MDAI 2006. Tarragona, Catalonia, Spain, april 3-5th, 2006.Several complex problems have to be solved in order to build Intelligent Transport Systems. Among them, it is worth mentioning the detection and classification of tra±c signs which could appear at any position within a captured image. This paper analyzes the influence of the number of attributes in the field of classification of tra±c signs when automatic learning techniques are used. In order to face this task, four different approaches have been considered, three of them symbolic and one sub-symbolic. These techniques have been applied using two different input pattern dimensions and their performances have been compared.text/plainapplication/pdfengconference proceedingsInformáticaopen access