ONTARE. REVISTA DE INVESTIGACIÓN DE LA FACULTAD DE INGENIERÍA
In lots ot applications ot engineering and other related areas, it is trequently seen that researchers haveto tace the need ot identitying specitic teatures which make them differentiate two or more groups ot individuals or objects, and very often this situation is caused by the need to classity new cases as belonging to one group or another. This research paper aims at studying the discrimination ot a particular population which shows atypical observation results (Outliers) with the application ot neuronal network methodology, a robust classitication using neuronal network, and whose main objective is to compare it with a robust discrimination methodology, analyzing its advantages
