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- Weighted fuzzy Petri Net 加权模糊Petri网
- Intuitionistie Fuzzy Petri Net (IFPN) 直觉模糊Petri网
- A method of misuse intrusion detection based on fuzzy Petri nets is proposed,and the learning ability similar to neural networks introduced into fuzzy Petri nets to adjust the parameters of attack knowledge model. 提出了基于模糊Petri网的误用入侵检测方法;并将类似于神经网络的学习引入模糊Petri网;以调整攻击知识模型参数.
- Analysis indicated that,in the misuse detection system based on fuzzy Petri nets,the reasoning efficiency seemed to be improved,and the parameters such as threshold,weights and belief strength can be learned from the environment dynamically. 理论分析表明;基于模糊Petri网的误用入侵检测系统具有更高的推理效率;能从环境中动态学习调整知识模型的相关参数;如阈值、权值、确信度.
- Padmini Srinivasan and Denis Gracanin , Approximate Reasoning with Fuzzy Petri Nets , Proceeding of the Second IEEE International Conference on Fuzzy Systems , vol. 1 , pp. 386-401 , 1993 . 许基文著,电脑整合制造中高阶模糊派区网路结合基因演算法在决策支援系统上之应用,国立台湾海洋大学机械与轮机研究所硕士论文,民国87年6月。
- Distributed Knowledge Representation Methods Using the Fuzzy Petri Net 基于模糊Petri网络的分布式知识表示方法
- weighted fuzzy Petri network 加权模糊Petri网
- Application of fuzzy Petri net knowledge representation to polymer-flooding comprehensive adjustment 模糊Petri网知识表示方法在聚驱综合调整中的应用
- fuzzy Petri net 模糊Petri网
- timed fuzzy Petri net 赋时模糊Petri网
- adaptive fuzzy Petri net 自适应模糊Petri网
- Fuzzy Petri Net (FPN) 模糊Petri网
- Fuzzy petri net model 模糊petri网模型
- improved fuzzy Petri net 改进模糊Petri网
- Hierarchical Fuzzy Petri Net 多层模糊Petri网
- Modeling and Reasoning of Task Collaborative Allocation Using Object-Based Fuzzy Petri Nets 对象化模糊Petri网的任务协同分配建模与推理
- Base on the introduction of the flow of entropy weight fuzzy comprehensive evaluation method, The method was applied in optimization of lubricant formulation. 在简要介绍熵权模糊综合评价法基本流程的基础上,本文将该法应用于润滑油配方优选环节。
- This paper discusses how to simulate Turing machine by Petri net from the viewpointof information transformation. 本文从信息变换的角度来阐明“如何用Petri网模拟Turing机”。
- The algorithm partitions mixed grid resource node sets that include numerical and categorical resources based on different weight of resource request and feature weighted fuzzy K-prototypes algorithm. 该算法根据资源请求对各维资源关心程度的不同,用特征加权模糊K-原型聚类算法对数值型、类属型并存的混合型网格资源节点集合进行划分。
- Petri Net, Finite State Automata (FSA), IDEF3 and State Charts are traditionally used for behavior modeling. Petri Net、有限自动机、IDEF3和状态图是常用的行为建模方法。