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Volumn , Issue , 2010, Pages 418-422

Pre-processing for missing data: A hybrid approach to air pollution prediction in Macau

Author keywords

ANFIS; API; Multiple imputation

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; AIR POLLUTION INDEX; ANFIS; API; FORECASTING PERFORMANCE; HYBRID APPROACH; INDUSTRIAL AREA; MEASURED DATA; MISSING DATA; MULTIPLE IMPUTATION; OBSERVED DATA; PRE-PROCESSING; PREDICTION PERFORMANCE; RAPID DEVELOPMENT; ROOT MEAN SQUARE ERRORS;

EID: 78149450861     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICAL.2010.5585320     Document Type: Conference Paper
Times cited : (14)

References (11)
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  • 2
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  • 3
    • 0021892282 scopus 로고
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    • (1985) IEEE Trans. Syst., Man, Cybern. , vol.15 , pp. 116-132
    • Takagi, T.1    Sugeno, M.2
  • 4
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    • Jyh-Shing Roger Jang, "ANFIS: Adaptive-Network-Based Fuzzy Inference System", IEEE Trans. Syst., Man, Cybern, vol. 23, pp, 665-683, 1993
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  • 11
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    • Multiple imputation for missing data: A cautionary tale
    • Allison, P. D. (2000), "Multiple Imputation for Missing Data: A Cautionary Tale," Sociological Methods and Research, 28, 301--309.
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    • Allison, P.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.