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。
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.
出处
《河北工业科技》
CAS
2001年第5期19-22,共4页
Hebei Journal of Industrial Science and Technology
关键词
模糊逻辑系统
BP算法
系统辩识
fuzzy logical system
BP algorithm
system identification
