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Volumn 2005, Issue , 2005, Pages 73-78

Modeling groundwater quality with Bayesian techniques

Author keywords

[No Author keywords available]

Indexed keywords

CONTAMINATION; NEURAL NETWORKS; RANDOM PROCESSES;

EID: 33846977426     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDA.2005.65     Document Type: Conference Paper
Times cited : (7)

References (11)
  • 2
    • 33846951381 scopus 로고    scopus 로고
    • Ministry of Water Resources (MWR), Sultanate of Oman. 2004. Law on the Protection of Water Resources, Regulations for the organization of wells and aflaj, and Regulations for the use of water desalination units on wells, (in Arabic).
    • Ministry of Water Resources (MWR), Sultanate of Oman. 2004. Law on the Protection of Water Resources, Regulations for the organization of wells and aflaj, and Regulations for the use of water desalination units on wells, (in Arabic).
  • 3
    • 22944490415 scopus 로고
    • Investigation of The Quality of Groundwater Abstracted from the Salalah Plain: Dhofar Municipality
    • Final Report
    • Dames and Moore. 1992. Investigation of The Quality of Groundwater Abstracted from the Salalah Plain: Dhofar Municipality, Final Report.
    • (1992)
    • Dames1    Moore2
  • 4
    • 33847006807 scopus 로고    scopus 로고
    • Entec Europe Limited. 1998. Consultancy Services for The Study of Development Activities on Groundwater Quality of Wadi Adai, Al Khawd and Salalah Well Field Protection Zones, Contract No 96-2133, Final Report, 4, Hydrogeology and Modeling, Salalah, Ministry of Water Resources.
    • Entec Europe Limited. 1998. Consultancy Services for The Study of Development Activities on Groundwater Quality of Wadi Adai, Al Khawd and Salalah Well Field Protection Zones, Contract No 96-2133, Final Report, Volume 4, Hydrogeology and Modeling, Salalah, Ministry of Water Resources.
  • 5
    • 33846967336 scopus 로고    scopus 로고
    • Banerjee A. K. et al. 1985. TR no. 773, Department of Statistics, University of Wisconsin.
    • Banerjee A. K. et al. 1985. TR no. 773, Department of Statistics, University of Wisconsin.
  • 7
    • 4344602213 scopus 로고    scopus 로고
    • An extension of the differential approach for Bayesian network inference to dynamic Bayesian networks
    • Brandherm, B. and Jameson, A. 2004. An extension of the differential approach for Bayesian network inference to dynamic Bayesian networks, International Journal of Intelligent Systems, 19(8):727-748.
    • (2004) International Journal of Intelligent Systems , vol.19 , Issue.8 , pp. 727-748
    • Brandherm, B.1    Jameson, A.2
  • 8
    • 3042738945 scopus 로고    scopus 로고
    • Dynamic Bayesian network and nonparametric regression for nonlinear modeling of gene networks from time series gene expression data
    • Kim, S., Imoto, S., and Miyano, S. 2004. Dynamic Bayesian network and nonparametric regression for nonlinear modeling of gene networks from time series gene expression data, Biosystems, 75, 57-65.
    • (2004) Biosystems , vol.75 , pp. 57-65
    • Kim, S.1    Imoto, S.2    Miyano, S.3
  • 9
    • 33846945639 scopus 로고    scopus 로고
    • HUGIN Expert Brochure. 2005. HUGIN Expert A/S, P. O. Box 8201 DK-9220, Aalborg, Denmark (http://www.hugin.com).
    • HUGIN Expert Brochure. 2005. HUGIN Expert A/S, P. O. Box 8201 DK-9220, Aalborg, Denmark (http://www.hugin.com).
  • 10
    • 0005059765 scopus 로고
    • dHugin: A computational system for dynamic time-sliced Bayesian Networks
    • Kjaerulff, U. 1995. dHugin: A computational system for dynamic time-sliced Bayesian Networks, International Journal of Forecasting, 11, 89-111.
    • (1995) International Journal of Forecasting , vol.11 , pp. 89-111
    • Kjaerulff, U.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.