This paper is about the possibility of applying Kohonen's neural model to the study of a Region¿s internal structure. After showing the main characteristics of the working and learning of Kohohen models with uni-dimensional (L.V.Q.) and bi-dimensional (S.O.M.) exit, it is stated that the first -applied to the analysis of a territory- can be an interesting alternative to the statistical methods of cluster analysis.
