首页 | 本学科首页   官方微博 | 高级检索  
     

具有学习能力的FPN在航保系统易损性评估中的应用
引用本文:冯麟涵,姚熊亮,张阿漫,汪玉. 具有学习能力的FPN在航保系统易损性评估中的应用[J]. 系统工程理论与实践, 2010, 30(3): 557-564. DOI: 10.12011/1000-6788(2010)3-557
作者姓名:冯麟涵  姚熊亮  张阿漫  汪玉
作者单位:1. 海军装备研究院舰船所,北京,100161
2. 哈尔滨工程大学船舶工程学院,哈尔滨,150001
基金项目:国家自然科学基金,船舶工业国防科技预研基金 
摘    要:基于Petri网模糊推理算法,引入改进粒子群优化算法,使其具有参数学习能力,摆脱系统中众多未知参数对专家和经验的依赖.以舰船航空保障系统为研究对象,建立了基于具有学习能力FPN(Fuzzy Petri net)的系统易损性评估模型,算例佐证了其学习效率及精度.与传统系统易损性评估方法的对比试验表明该评估模型的全面性和合理性,并可推广应用于复杂舰船系统易损性评估研究.

关 键 词:航空保障系统  易损性评估  模糊Petri网  学习能力  改进粒子群优化算法  

Application of FPN with learn ability in vulnerability assessment on aircraft guarantee system
FENG Lin-han,YAO Xiong-liang,ZHANG A-man,WANG Yu. Application of FPN with learn ability in vulnerability assessment on aircraft guarantee system[J]. Systems Engineering —Theory & Practice, 2010, 30(3): 557-564. DOI: 10.12011/1000-6788(2010)3-557
Authors:FENG Lin-han  YAO Xiong-liang  ZHANG A-man  WANG Yu
Affiliation:FENG Lin-han~1,YAO Xiong-liang~2,ZHANG A-man~2,WANG Yu~1 (1.Institute of Naval Vessels,Naval Academy of Armament,Beijing 100161,China,2.College of Shipbuilding Engineering,Harbin Engineering University,Harbin 150001,China)
Abstract:Based on fuzzy reasoning algorithm of fuzzy Petri net(FPN),modified particle swarm optimization was used to endow the FPN with learning ability,which made the determination of unknown weight coefficients in system get rid of experts or experiences.Taking aircraft guarantee system as subject investigated, the vulnerability assessment model is constructed based on the FPN model with learning ability, and the test results prove its learn efficiency and precision.The experiment results comparison between the pr...
Keywords:ship system  vulnerability assessment  fuzzy Petri net  learn ability  modified particle swarm optimization algorithm
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《系统工程理论与实践》浏览原始摘要信息
点击此处可从《系统工程理论与实践》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号