Title
ARTIFICIAL INTELLIGENCE IN SHAPING OF RURAL SPACE – SEPARATING AREAS WITH HOMOGENEOUS USE FUNCTIONS
Autor
Aneta Kostrubiec, Urszula Litwin
Keywords
artificial neural networks, Kohonen’s algorithm (Self-Organizing Map – SOM), spatial structure of rural areas
Abstract
Artificial intelligence enjoys great interest in several fields of science. Neural networks, novel technologies loosely based on biological learning, can be used to discover (learn) patterns that are not readily apparent in data. The paper focuses on some key aspects of applying such research techniques to shape rural space. Kohonen’s algorithm (Self-Organizing Map – SOM) was found to be useful in spatial structure analysis for separating areas with homogeneous features. The procedure was described and structured into a method comprising several stages.
Pages
129-136
Cite
Kostrubiec, A., Litwin, U. (2003). ARTIFICIAL INTELLIGENCE IN SHAPING OF RURAL SPACE – SEPARATING AREAS WITH HOMOGENEOUS USE FUNCTIONS. Acta Sci. Pol. Formatio Circumiectus, 2(2), 129-136.
Full text
