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[en] Results of neural network forecasting of both natural radioactive background and radioactive levels on contaminated territories are given and different methods of modeling are discussed. (authors)
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Kundas, S.P.; Mel'nov, S.B.; Poznyak, S.S. (International A. Sakharov environmental univ., Minsk (Belarus)); Ministerstvo obrazovaniya Respubliki Belarus', Minsk (Belarus); Ministerstvo prirodnykh resursov i okhrany okruzhayushchej sredy Respubliki Belarus', Minsk (Belarus); Departament po likvidatsii posledstvij katastrofy na Chernobyl'skoj AEhS Ministerstva po chrezvychainym situatsiyam Respubliki Belarus', Minsk (Belarus); Postoyannaya komissiya po radioehkologicheskomu obrazovaniyu stran SNG, Minsk (Belarus); Belorusskij respublikanskij fond fundamental'nykh issledovanij, Minsk (Belarus); Illinois univ., Chikago, Il (United States); UNESKO Office, Moscow (Russian Federation); International A. Sakharov environmental univ., Minsk (Belarus); 380 p; ISBN 978-985-6931-01-0; 
; May 2009; p. 246; 9. International scientific conference 'Sakharov readings 2009: Environmental problems of the XXI century'; Sakharovskie chteniya 2009 goda: ehkologicheskie problemy XXI veka. Materialy 9-j mezhdunarodnoj nauchnoj konferentsii; Minsk (Belarus); 21-22 May 2009
; May 2009; p. 246; 9. International scientific conference 'Sakharov readings 2009: Environmental problems of the XXI century'; Sakharovskie chteniya 2009 goda: ehkologicheskie problemy XXI veka. Materialy 9-j mezhdunarodnoj nauchnoj konferentsii; Minsk (Belarus); 21-22 May 2009