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| 高斯型模糊逻辑系统的BP算法及其应用 | |
| 引用本文： | 王培峰,李青茹,王国贞.高斯型模糊逻辑系统的BP算法及其应用[J].河北工业科技,2001,18(5):19-22. |
| 作者姓名： | 王培峰 李青茹 王国贞 |
| 作者单位： | 1. 河北科技大学信息科学与工程学院,河北,石家庄,050054 2. 河北师范大学物理系,河北,石家庄,050016 3. 河北工业职业技术学院,河北,石家庄,050014 |
| 摘 要： | 在模糊逻辑控制和神经网络理论的基础上给出了高斯型模糊逻辑系统及其 BP算法 ,并给出了 BP算法的一种初始参数的选择方法和反向调整参数的公式 ;还构造了基于高斯型模糊逻辑系统的辨识器并在 Matlab5.1平台上作了仿真实验 ,仿真实例说明了这种算法的可行性和可靠性。有待进一步研究讨论的是如何更好地选择初始参数以获得更好的跟踪效果 |
| 关 键 词： | 模糊逻辑系统 BP算法 系统辩识 |
| 文章编号： | 1008-1534(2001)05-0019-04 |
| 修稿时间： | 2001年2月20日 |
BP Algorithm of Gauss Fuzzy Logical System and its Application in System Identification |
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| WANG Pei feng ,LI Qing ru ,WANG Guo zhen.BP Algorithm of Gauss Fuzzy Logical System and its Application in System Identification[J].Hebei Journal of Industrial Science & Technology,2001,18(5):19-22. | |
| Authors: | WANG Pei feng LI Qing ru WANG Guo zhen |
| Institution: | WANG Pei feng 1,LI Qing ru 2,WANG Guo zhen 3 |
| Abstract: | This paper discusses the Gauss fuzzy logical system and its BP algorithm on the basis of traditional fuzzy logical control and neural network theory.This paper gives one of the methods on how to choose initial parameters in BP algorithm and the formula of how to adjust the parameters.We make the identification system based on Gauss fuzzy logical system.A simulation has been made by using Matlab 5.1.The results of the simulation have proved that the scheme is efficient and feasible.The problem which needs further discussion is how to better choose initial parameters,so as to get better tracing ability. |
| Keywords: | fuzzy logical system BP algorithm system identification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |