Indicator space configuration for early warning of violent political conflicts by genetic algorithms

0410547 - UTIA-B 20010016 RIV CH eng J - Článek v odborném periodiku
Ivanova, Petya - Tagarev, T. D.
Indicator space configuration for early warning of violent political conflicts by genetic algorithms.
Annals of Operations Research. Roč. 97, č. 2 (2000), s. 287-311. ISSN 0254-5330. E-ISSN 1572-9338
Grant CEP: GA ČR GA102/99/1564
Výzkumný záměr: AV0Z1075907
Klíčová slova: genetic algorithms * indicator selection * neural networks
Kód oboru RIV: BB - Aplikovaná statistika, operační výzkum
Impakt faktor: 0.364, rok: 2000

Recognition of preconflict situations has a powerful potential for early warning of violent political conflicts. This paper focuses on the design and application of artificial neural networks as classifiers of preconflict situations. Achieving a desired level of performance of the neural network relies on the appropriate construction of recognition space (selection of indicators) and the choice of network architecture.
Trvalý link: http://hdl.handle.net/11104/0130636