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    Abstract:

    With regard to the complex structure of Fuzzy Petri Net, this paper improved the hierarchical algorithm of Fuzzy Petri Net without increasing the virtual place and virtual transition, thereby simplifying the learing and training of Fuzzy Petri Net. To speed convergence, this paper proposed a new algorithm for the learning of Fuzzy Petri Net based on the results feedback, namely FBFPN. Firstly, this algorithm layered the pure net hierarchically and established the approximate continuous function of the transition firing, then adjusted the weight, the threshold and the credibility ,finally adjusted the input vector to minimize the error function. Simulation results showed that this algorithm has stronger generalization ability and higher learning efficiency.

    Reference
    1 CHEN S. Weighted Fuzzy Reasoning Using Weighted Fuzzy Petri Nets. IEEE Transactions on Knowledge and Data Engineering (S1041-4347), 2002,14(2): 386-397.
    2 鲍培明. 基BP网络的模糊Petri网的学习能力.计算机学报, 2004,27(5):695-702.
    3 陈亚华,吴时霖. 基于模糊有色Petri 网的不确定性学习和推理方法. 系统仿真学报, 2003,15(增刊):56-58.
    4 汤新民,钟诗胜. 基于元模型的模糊Petri网反向传播学习算法.系统仿真学报, 2007,14(19):3163-3167.
    5 黄光球,赵阿妮. 基于多值逻辑Petri网的攻击模型. 计算机工程, 2010,36(4):121-124.
    6 Li Xiao ou, YU Wen, Lara-Rosano Felipe. Dynamic Knowledge Inference and Learning under Adaptive Fuzzy Petri Net Framework. IEEE Transactions on System, Man, and Cybernetics—Part C: Applications and Reviews (S1094-6977), 2000,30(4):442-450.
    7 王万良. 人工智能及其应用. 北京: 高等教育出版社, 2008.
    8 武妍,王守觉.一种通过反馈提高神经网络学习性能的新算法. 计算机研究与发展, 2004,9(41): 1488-1492.
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严军辉,方路平,肖寒冰,魏渊洁,谢超.基于结果反馈的模糊Petri网学习算法.计算机系统应用,2010,19(12):114-118

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History
  • Received:April 15,2010
  • Revised:May 13,2010
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