메뉴 건너뛰기




Volumn 28, Issue 1, 2001, Pages 26-35

Drinking water quality and treatment: The use of artificial neural networks

Author keywords

Artificial neural networks; Water treatment modelling; Water treatment process control

Indexed keywords


EID: 57249090273     PISSN: 03151468     EISSN: None     Source Type: Journal    
DOI: 10.1139/cjce-28-1-26     Document Type: Article
Times cited : (51)

References (18)
  • 1
    • 0032773112 scopus 로고    scopus 로고
    • Development of a full-scale artificial neural network model for the removal of natural organic matter by enhanced coagulation
    • (1999) Aqua , vol.48 , Issue.4 , pp. 129-136
    • Baxter, C.W.1    Stanley, S.J.2    Zhang, Q.3
  • 2
    • 0031257436 scopus 로고    scopus 로고
    • Experience in industrial plant model development using large scale artificial neural networks
    • (1997) Information-Sciences , vol.101 , Issue.3-4 , pp. 203-216
    • Boger, Z.1
  • 9
    • 0031650350 scopus 로고    scopus 로고
    • Modeling of urban air pollution in the Edmonton Strathcona industrial area using artificial neural networks
    • Transportation, land-use, and air quality: making the connection. American Society of Civil Engineers, Portland, Oreg.
    • (1998) , pp. 246-255
    • Hasham, F.A.1    Stanley, S.J.2    Kindzierski, W.B.3
  • 11
    • 0042967698 scopus 로고
    • Application of neural network to groundwater remediation
    • Expert systems for civil engineers: knowledge representation. Edited by R. H. Allen. American Society of Civil Engineers, New York, N.Y.
    • (1992) , pp. 259-269
    • Garrett, J.H.1    Ranjithan, S.2    Eheart, J.W.3
  • 16
    • 0002520528 scopus 로고
    • A general framework for parallel distributed processing
    • Parallel distributed processing: explorations in the microstructure of cognition. Edited by D.E. Rumelhart, G.E. Hinton and R.J. Williams. The Massachusetts Institute of Technology Press, Cambridge, Mass.
    • (1986) , pp. 45-76
    • Rumelhart, D.E.1    Hinton, G.E.2    McClelland, J.L.3
  • 18
    • 0031239528 scopus 로고    scopus 로고
    • Forecasting raw-water quality parameters for the North Saskatchewan River by neural network modeling
    • (1997) Water Research , vol.31 , Issue.9 , pp. 2340-2350
    • Zhang, Q.1    Stanley, S.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.