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基于贝叶斯网络的高速公路预警系统研究 被引量:7

Study on the Forewarning System of Freeway Based on Bayesian Networks
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摘要 贝叶斯网络能够对不完全、不精确或不确定的知识或信息做出有效的推理,已成为目前不确定知识表达和推理领域最有效的模型之一。为了有效减少交通拥挤、预防交通事故,建立了基于贝叶斯网络的高速公路预警系统。该系统可以根据已知的交通信息、天气以及时段等信息判断道路交通状况,对高速公路交通事件进行有效的预警。
出处 《公路工程》 2007年第4期163-166,共4页 Highway Engineering
关键词 贝叶斯网络 网络结构 条件概率表(CPT) 预警系统 Bayesian networks network structure conditional probability table forewarning systern
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  • 1[1]Heckerman D. Bayesian networks for data mining [J]. Data Mining and Knowledge Discovery, 1997, 1: 79~119.
  • 2[2]Heckerman D, Geiger D, Chickering D. Learning Bayesian Networks: the combination of knowledge and statistical data [J]. Machine Learning, 1995, 20: 196~243.
  • 3[3]Geiger D, Heckerman D. A characterization of the Dirichlet distribution with applicable to learning Bayesian networks [A]. In Proceedings of Eleventh Conference on Uncertainty in Artificial Intelligence [C]. Montreal, QU, 1995. 196~207.
  • 4[4]Cooper G, Herskovits E. A Bayesian method for the induction of probabilistic networks from data [J]. Machine Learning, 1992, 9: 309~347.
  • 5[5]Dagum P, Luby M. Approximating probabilistic inference in Bayesian belief networks is NP-hard [J]. Artificial Intelligence, 1993, 60: 141~153.
  • 6[6]Chickering D. Learning equivalence classes of Bayesian-network structures [A]. In Proceedings of Twelfth Conference on Uncertainty in Artificial Intelligence [C]. Portland, OR: Morgan Kaufmann, 1996.
  • 7[7]Heckerman D, Mamdani A, Wellman M. Real-world applications of Bayesian networks [J]. Communications of the ACM, 1995, 38 (3): 24~26.
  • 8[8]Sewell W, Shah V. Social class, parental encouragement, and educational aspirations [J]. American Journal of Sociology, 1968, 73: 559~572.
  • 9[9]Spirtes P, Glymour C, Scheines R. Causation, Predication, and Search [M]. New York: Springer-Verlag, 1993.
  • 10[10]Cheeseman P, Stutz J. Bayesian classification (AutoClass): Theory and results [A]. Fayyad U, Piatesky-Shapiro G, Smyth P, et al (Eds.). Advances in Knowledge Discovery and Data Mining [C]. Menlo Park, CA: AAAI Press, 1995.

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