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›› 2004, Vol. 30 ›› Issue (21): 121-123.

• 论文 • 上一篇    下一篇

模糊逻辑系统与支持向量机的关系探索

字正华,赵爽,王光昶   

  1. 北京理工大学机电工程学院,云南大学信息与电子科学系,四川大学物理科学与技术学院 北京 100081
  • 发布日期:2004-11-15

Study of Relationship Between Fuzzy Logic System and Support Vector Machine

ZI Zhenghua1, ZHAO Shuang2, WANG Guangchang3   

  1. (1. School of Mechatronic Engineering, Beijing Institute of Technology, Beijing 100081; 2. College of Information, Yunnan University, Kunming 650091; 3. College of Physics Science and Technology, Chengdu 610065)
  • Published:2004-11-15

摘要: 研究了模糊逻辑系统和支持向量机的关系,指出模糊逻辑系统是以峰点作为支持向量,以隶属函数作为基函数的推理系统,模糊逻辑系统是一种特殊的支持向量机。文中提出了一种基于模糊规则的支持向量机控制模型,仿真结果表明了这种模型的可行性和有效性。

关键词: 模糊逻辑系统, 支持向量机, 控制模型

Abstract: The relationship between fuzzy logic system and support vector machine(SVM) is analyzed. It points out that fuzzy logic system is a special support vector machine with special support vector and basic function. An SVM control model based on fuzzy rules is proposed. Simulation result indicates that the model is feasible and effective.

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