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Issue №14. March 2008

Statistical and Neural-networking Methods in Studying the Political Climate in France in 1998–2004 ции во Франции на примере региональных выборов 1998 и 2004 годов

Yuri Yu. Petrunin, Yulia A. Zernova

Yuri Yu. Petrunin — Ph.D., Professor, Management Theory and Technology Department, School of Public Administration, Lomonosov Moscow State University.

Yulia A. Zernova — undergraduate student, School of Public Administration, Lomonosov Moscow State University.

The article presents a study of political climate in France and its evolution n the time between the municipal elections, based on official statistical data available online. The authors employ both the classical statistical methods and an alternative methods using self-learning neural networks.

Keywords

France, elections, research, Statistica, SOM, data analysis, cluster analysis, correlation, AI, neural network, political climate.

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