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Volumn 29, Issue 10, 2005, Pages 2049-2059

Fuzzy logic modeling of surface ozone concentrations

Author keywords

Air pollution; Fuzzy logic; Modified learning from examples; Surface ozone

Indexed keywords

AIR POLLUTION; CONCENTRATION (PROCESS); ERROR ANALYSIS; FORECASTING; FUZZY SETS; NUMERICAL METHODS; STATISTICS;

EID: 25844488164     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2005.01.008     Document Type: Article
Times cited : (25)

References (16)
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    • Comrie, A.1
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  • 13
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    • Fuzzy logic approach for a description of meteorological impacts on urban air pollution species: A Hong Kong Case Study
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    • Pokrovsky, O.M.1    Kwok, R.2    Ng, C.N.3
  • 14
    • 0025247377 scopus 로고
    • Evaluation and comparison of statistical forecast models for daily maximum ozone concentrations
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  • 15
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    • Air quality forecasts in mid-Atlantic region: Current practice and benchmark skill
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    • Identification and analysis of fuzzy model for air pollution - An approach to self learning control of CO concentration
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.