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Issue 2 (2) 2003 pp. 129–136

Aneta Kostrubiec, Urszula Litwin

ARTIFICIAL INTELLIGENCE IN SHAPING OF RURAL SPACE – SEPARATING AREAS WITH HOMOGENEOUS USE FUNCTIONS

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.
pub/2_2_129.pdf Full text available in in Adobe Acrobat format:
http://www.formatiocircumiectus.actapol.net/volume2/issue2/2_2_129.pdf

For citation:

MLA Kostrubiec, Aneta, and Urszula Litwin. "ARTIFICIAL INTELLIGENCE IN SHAPING OF RURAL SPACE – SEPARATING AREAS WITH HOMOGENEOUS USE FUNCTIONS." Acta Sci.Pol. Form. Cir. 2.2 (2003): 129–136.
APA (2003). . Acta Sci.Pol. Form. Cir. 2 (2), 129–136
ISO 690 KOSTRUBIEC, Aneta, LITWIN, Urszula. ARTIFICIAL INTELLIGENCE IN SHAPING OF RURAL SPACE – SEPARATING AREAS WITH HOMOGENEOUS USE FUNCTIONS. Acta Sci.Pol. Form. Cir., 2003, 2.2: 129–136.
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Streszczenie w języku polskim:
http://www.formatiocircumiectus.actapol.net/tom2/zeszyt2/abstrakt-129.html