0410547 20240103182221.720060210235959.9 25 s. cav_un_epca*02508070254-5330972 (2000)287-311Springer genetic algorithms indicator selection neural networks cav_un_auth*0212752 Ivanova Petya UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0212465 Tagarev T. D. BG 12B GA102/99/1564 GA ČR cav_un_auth*0004444 AV0Z1075907 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. BB AS http://hdl.handle.net/11104/0130636 UTIA-B 20010016 2000 cav_un_epca*0250807 Annals of Operations Research 0254-5330 1572-9338 Roč. 97 č. 2 2000 287 311 Springer