Počet záznamů: 1  

Analysis of Coniferous Forest Damage: Effects of Trichloroacetic Acid, Sulphur, Fluorine and Chlorine on Needle Loss of Norway Spruce

  1. 1.
    0404902 - UIVT-O 20030035 RIV CZ eng J - Článek v odborném periodiku
    Coufal, David - Matucha, P. - Uhlířová, H. - Lomský, B. - Forczek, Sándor - Matucha, Miroslav
    Analysis of Coniferous Forest Damage: Effects of Trichloroacetic Acid, Sulphur, Fluorine and Chlorine on Needle Loss of Norway Spruce.
    Neural Network World. Roč. 13, č. 1 (2003), s. 89-102. ISSN 1210-0552
    Grant CEP: GA ČR GA522/99/1465; GA MŠk OC 274.001
    Grant ostatní:COST(XE) Action 274 TARSKI
    Výzkumný záměr: AV0Z1030915
    Klíčová slova: forest decline * polyfactorial problem * monitoring * stress factors * dose/response-relationship
    Kód oboru RIV: BA - Obecná matematika

    Citováno: 2

    --- HAJEK, P. - HOLENA, M. - RAUCH, J. The GUHA method and its meaning for data mining. JOURNAL OF COMPUTER AND SYSTEM SCIENCES. ISSN 0022-0000, FEB 2010, vol. 76, no. 1, Sp. Iss. SI, p. 34-48. [WOS]
    --- YETILMEZSOY, K. - OZKAYA, B. - CAKMAKCI, M. ARTIFICIAL INTELLIGENCE-BASED PREDICTION MODELS FOR ENVIRONMENTAL ENGINEERING. NEURAL NETWORK WORLD. ISSN 1210-0552, 2011, vol. 21, no. 3, p. 193-218. [WOS]

    Trvalý link: http://hdl.handle.net/11104/0003464