Hourly predictive artificial neural network and multivariate regression tree models of Alternaria and Cladosporium spore concentrations in Szczecin (Poland)

International Journal of Biometeorology

Volumn 53, Issue 6, 2009, Pages 555-562

  Grinn Gofroń, Agnieszka ^a   Strzelczak, Agnieszka ^b  

^a UNIVERSITY OF SZCZECIN   (Poland)

^b WEST POMERANIAN UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Alternaria; Artificial neural networks; Cladosporium; Hourly pattern; Multivariate regression trees; Szczecin (Poland); Weather variables

Indexed keywords

AIR POLLUTANT; ALGORITHM; ALTERNARIA; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLADOSPORIUM; COMPUTER SIMULATION; FUNGUS SPORE; ISOLATION AND PURIFICATION; MICROBIOLOGY; MULTIVARIATE ANALYSIS; POLAND; REGRESSION ANALYSIS; STATISTICAL MODEL;

AIR MICROBIOLOGY; AIR POLLUTANTS; ALGORITHMS; ALTERNARIA; CLADOSPORIUM; COMPUTER SIMULATION; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; NEURAL NETWORKS (COMPUTER); POLAND; REGRESSION ANALYSIS; SPORES, FUNGAL;

ALTERNARIA; BACTERIA (MICROORGANISMS); CLADOSPORIUM; FUNGI;

EID: 71349087210     PISSN: 00207128     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00484-009-0243-2     Document Type: Article

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