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Volumn 15, Issue 3-4, 1998, Pages 317-324

Probabilistic temporal reasoning and its application to fossil power plant operation

Author keywords

Bayesian networks; Diagnosis; Power plants; Prediction; Temporal reasoning

Indexed keywords


EID: 0010365160     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/s0957-4174(98)00038-4     Document Type: Article
Times cited : (28)

References (22)
  • 2
    • 0008559963 scopus 로고    scopus 로고
    • A structurally and temporally extended Bayesian belief network model: Definitions, properties and modeling techniques
    • UAI-96 Portland Bregon: Morgan Kaufmann
    • Aliferis C.F., & Cooper G.F. (1996) A structurally and temporally extended Bayesian belief network model: definitions, properties and modeling techniques. In Proceedings of the 12th Conference on Uncertainty in Artificial Intelligence, UAI-96 (pp. 28-39), Portland Bregon: Morgan Kaufmann.
    • (1996) Proceedings of the 12th Conference on Uncertainty in Artificial Intelligence , pp. 28-39
    • Aliferis, C.F.1    Cooper, G.F.2
  • 3
    • 0020849266 scopus 로고
    • Maintaining knowledge about temporal intervals
    • Allen J.F. (1983). Maintaining knowledge about temporal intervals. Communications of the ACM, 26 (11), 832-843.
    • (1983) Communications of the ACM , vol.26 , Issue.11 , pp. 832-843
    • Allen, J.F.1
  • 8
    • 0030082452 scopus 로고    scopus 로고
    • A logic of time, chance and action for representing plans
    • Haddawy P. (1996). A logic of time, chance and action for representing plans. Artificial Intelligence, 80 (2), 243-308.
    • (1996) Artificial Intelligence , vol.80 , Issue.2 , pp. 243-308
    • Haddawy, P.1
  • 17
    • 0346333686 scopus 로고
    • A theorical framework for context-sensitive temporal probability model construction with application to plan projection
    • Ngo L., Haddaway P., & Helwig J. (1995). A theorical framework for context-sensitive temporal probability model construction with application to plan projection. In Procceddings of Uncertainty in Artificial Intelligence (pp. 419-426).
    • (1995) Procceddings of Uncertainty in Artificial Intelligence , pp. 419-426
    • Ngo, L.1    Haddaway, P.2    Helwig, J.3
  • 21
    • 0042969927 scopus 로고    scopus 로고
    • Technical report AFIT/ENTR9606, Department of Electrical and Computer Engineering, Air Force Institute of Technology
    • Santos Jr, E., & Young J. D. (1996). Probabilistic temporal networks. Technical report AFIT/ENTR9606, Department of Electrical and Computer Engineering, Air Force Institute of Technology.
    • (1996) Probabilistic Temporal Networks
    • Santos E., Jr.1    Young, J.D.2
  • 22
    • 0029679208 scopus 로고    scopus 로고
    • The design and experimental analysis of algorithms for temporal reasoning
    • Van Beek P., & Manchak W.D. (1996). The design and experimental analysis of algorithms for temporal reasoning. Journal of Artificial Intelligence Research, 4, 1-18.
    • (1996) Journal of Artificial Intelligence Research , vol.4 , pp. 1-18
    • Van Beek, P.1    Manchak, W.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.