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Volumn 28, Issue 3, 1998, Pages 279-286

Short-term prediction of SO2 concentration in Macau with artificial neural networks

Author keywords

Air pollution; Artificial neural networks; Environmental issue; Macau; Sulfur dioxide; Time series prediction

Indexed keywords

AIR QUALITY; COMPUTER SIMULATION; ECONOMIC AND SOCIAL EFFECTS; ENVIRONMENTAL IMPACT; FEEDFORWARD NEURAL NETWORKS; MULTILAYER NEURAL NETWORKS; SULFUR DIOXIDE; TIME SERIES ANALYSIS;

EID: 0032210527     PISSN: 03787788     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0378-7788(98)00024-3     Document Type: Article
Times cited : (19)

References (19)
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  • 8
    • 0022171017 scopus 로고
    • Modeling atmospheric transport to Marshall island
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    • Merrill, J.1    Bleck, R.2    Avita, L.3
  • 9
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    • The long range transport of pollutants in the Pacific Rim region
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    • Kotamarthi, V.1    Carmichael, G.2
  • 10
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    • Evaluation of the effect of emission reductions on pollutant levels in Central Japan
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    • Chang, Y.1    Shin, W.-S.2    Carmichael, G.3    Kurita, H.4    Ueda, H.5
  • 12
    • 0000779360 scopus 로고
    • Dynamical systems and turbulence, Warwick
    • D. Rand, L.S. Young (Ed.)
    • F. Takens, Dynamical Systems and Turbulence, Warwick, in: D. Rand, L.S. Young (Ed.), Lecture Notes in Mathematics, Vol. 898, 1980, pp. 366-381.
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    • Takens, F.1
  • 13
    • 0024880831 scopus 로고
    • Multilayer feedforward networks are universal approximators
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  • 17
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    • Influence of some meteorological factors on air pollution in Trabzon city
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    • Cuhadaroglu, B.1    Demirci, E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.