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基于极大熵准则的先验分布确定方法 被引量:2

A Study of Determining the Prior Distribution Based On the Rule of Maximum Entropy
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摘要 借助于熵的概念 ,讨论了用极大熵的思想来确定先验分布的几种情形 ,给出了在各种情形下先验分布的形式和结论 ,从而提供了确定先验分布的一种有效的方法。 With the help of the concept of entropy,we discuss several conditions of the prior distribution determined by the rule of maximum entropy.At the same time,we also give the form of prior distribution in every condition.Thus, a valuable method to determine the prior distribution is given.
出处 《运筹与管理》 CSCD 2002年第3期32-35,共4页 Operations Research and Management Science
关键词 极大熵准则 极大熵 先验分布 entropy the maximum entropy the prior distribution
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参考文献3

  • 1陈王廷.决策分析[M].北京:科学出版社,1997.
  • 2Berger James O.Statistical decision theory and Bayesian analysis[M].Spring-Verlag world publishing corporation,1985.
  • 3Kullback S. Information theory and statistics[M].John Wiley,1959.

同被引文献10

  • 1Dorigo M, Gambardella L M. Ant colonies for the traveling salesman problem[J]. BioSystems, 1997, 43:73-81.
  • 2Vittorio M, Alberto C. The ant system applied to the quadratic assignment problem[J]. IEEE Transaction on Knowledge and Data Engineering, 1999, 11(5): 769-778.
  • 3McMullen P R. An ant colony optimization approach to addressing a JIT sequencing problem with multiple objectives[J]. Artificial Intelligence in Engineering, 2001, 15:309-317.
  • 4Gutjahr W J. ACO algorithms with guaranteed convergence to the optimal solution[J]. Information Processing Letters, 2002, 82:145-153.
  • 5Stützle T, Dorigo M. A short convergence proof for a class of ant colony optimization algorithms[J]. IEEE Trans on Evolutionary Computation, 2002, 6(4): 358-365.
  • 6Dorigo M, Maniezzo V, Colorni A. Ant system:optimization by a colony of cooperating agents[J]. IEEE Trans on Systems, Man and Cybernetics, 1996, 26(1): 29-41.
  • 7张纪会,高齐圣,徐心和.自适应蚁群算法[J].控制理论与应用,2000,17(1):1-3. 被引量:150
  • 8覃刚力,杨家本.自适应调整信息素的蚁群算法[J].信息与控制,2002,31(3):198-201. 被引量:107
  • 9吴成茂,樊相宇.基于模糊熵的人力资源结构优化配置[J].中国管理科学,2002,10(4):43-47. 被引量:10
  • 10吴福儿.基于模糊熵的高校师资结构优化研究[J].绍兴文理学院学报(自然科学版),2003,23(9):115-118. 被引量:3

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