| 微粒群算法在模糊Petri网参数优化中的应用 |
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| 引用本文： | 杨劲松,凌培亮.微粒群算法在模糊Petri网参数优化中的应用[J].中国工程机械学报,2009,7(4). |
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| 作者姓名： | 杨劲松 凌培亮 |
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| 作者单位： | 同济大学,机械工程学院,上海,201804 |
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| 基金项目： | 国家自然科学基金重点资助项目，国家自然科学基金资助项目，上海市科委资助项目 |
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| 摘 要： | 模糊产生式规则的置信度的获得大多依赖专家的经验,使得基于模糊产生式规则的模糊Petri网参数难以获得.将微粒群算法引入到模糊Petri网的置信度寻优过程,提出一种基于改进的微粒群算法的参数优化策略,该算法对初始输入无严格要求,求解速度快、精度较高,提高了模糊Petri网的泛化能力,降低了对专家经验的依赖程度.
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| 关 键 词： | 微粒群算法 模糊Petri网 置信度 |
Applying particle swarm method to parametric optimization for fuzzy Petri nets |
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| YANG Jin-song,LING Pei-liang.Applying particle swarm method to parametric optimization for fuzzy Petri nets[J].Chinese Journal of Construction Machinery,2009,7(4). |
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| Authors: | YANG Jin-song LING Pei-liang |
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| Affiliation: | YANG Jin-song; LING Pei-liang(College of Mechanical Engineering; Tongji University; Shanghai 201804; China); |
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| Abstract: | The certainty level of fuzzy generation rules is significantly dependent on the expertise.This impacts on the parametric acquisition of fuzzy Petri nets.In this study,the particle swarm algorithm is proposed to solicit the optimal certainty level for fuzzy Petri nets.Accordingly,an improved particle swarm algorithm is developed as a parametric optimization strategy.Specifically for this algorithm,the initial inputs need not meet extensive demands with fast solving speed and high precision.Therein,this appro... |
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| Keywords: | particle swarm optimization fuzzy Petri net certainty level |
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