摘要
本文首先提出了高木-关野模糊系统的混合Pi—Sigma神经网络实现方法和技术,然后研究了其在数据关联建模中的应用。实验结果表明,本文的方法不失为一种解决数据关联计算建模问题的新方法。
In this paper, a method, which uses the new hybrid Pi-Sigma neural network to realize the Sugeno-Takagi fuzzy system, is presented. And then it is used for modelling the data association computation problem. Experimental results show that this method is a new one for data association modelling.
基金
江苏省跨世纪学科带头人基金
关键词
模糊系统
神经网络
建模
Fuzzy system, Neural network, Modelling
