基于模糊逻辑的模糊神经网络推理机结构及其实现  

The structure and implementation of the fuzzy neural network reasoning mechanism based on the fuzzy logic

作　　者：李芳社[1] 王宝树[1] 

机构地区：[1]西安电子科技大学计算机学院

出　　处：《西安电子科技大学学报》1998年第6期799-802,共4页Journal of Xidian University

摘　　要：讨论了基于模糊逻辑与神经网络的模糊神经网络推理机的结构；给出了将模糊产生式规则转换为相应模糊神经网络的方法；深入探讨了采用欧氏距离作为误差函数的改进ＢＰ算法；给出了在数据融合中使用该模糊神经网络推理机进行目标平台识别的例子．The structure of a fuzzy neural network reasoning mechanism based on the fuzzy logic and neural network is first discussed. Then the method of using the neural networks learning ability to improve the accuracy of fuzy rules and using the fuzzy neural networks node information to initialize the networks weight is introduced. Finally, an example of the application of the fuzzy neural network reasoning mechanism in data fusion to identify the target platform is given.

关 键 词：模糊逻辑 神经网络 模糊神经网络 推理机 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]