| 基于克隆选择算法的学习型Petri网及在潜在通路分析中的应用 |
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| 引用本文： | 刘丙杰,刘勇志,黄岳.基于克隆选择算法的学习型Petri网及在潜在通路分析中的应用[J].航天控制,2011,29(4):94-97,102. |
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| 作者姓名： | 刘丙杰 刘勇志 黄岳 |
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| 作者单位： | 海军潜艇学院导弹兵器系,山东青岛,266071 |
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| 摘 要： | 传统学习型Petri网(LPN)有2个缺陷:1)都是针对无回路PN模型,这不符合实际情况；2)大部分都是利用BP算法进行学习,带来BP算法固有的缺陷.针对这2个缺陷,提出基于克隆选择算法(CSA)的LPN(CSALPN).首先对系统进行PN建模,然后利用CSA训练PN,使得PN既可以学习先验知识又可以利用系统的结构信息...
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| 关 键 词： | 潜在通路分析 克隆选择算法 Petri网 神经网络集成 |
Learning Petri Nets Based on Clonal Selection Algorithm for the Sneak Circuit Analysis |
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| LIU Bingjie,LIU Yongzhi,HUANG Yue.Learning Petri Nets Based on Clonal Selection Algorithm for the Sneak Circuit Analysis[J].Aerospace Control,2011,29(4):94-97,102. |
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| Authors: | LIU Bingjie LIU Yongzhi HUANG Yue |
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| Institution: | LIU Bingjie LIU Yongzhi HUANG Yue Department Missile Weapon Navy Submarine Academy,Shandong Qingdao 266071,China |
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| Abstract: | There are two shortcomings of conventional LPNs.First,it is not for reality that all of LPNs are designed for non-loop PNs.Second,most of the LPNs used BP algorithm to adjust parameters of PNs can trap into local minimum and intolerant learning speed.The LPNs(CSALPNs) based on clonal selection algorithm(CSA) is introduced in this paper.The CSA can train LPNs with loops and non-loops.The parameters of PNs are adjusted by CSA.The neural network ensemble is introduced to improve the generalization performance.... |
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| Keywords: | Sneak circuit analysis Clonal selection algorithm Petri nets Neural network ensemble |
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