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 networks learning ability to improve the accuracy of fuzy rules and using the fuzzy neural networks node information to initialize the networks 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.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
1998年第6期799-802,共4页
Journal of Xidian University
关键词
模糊逻辑
神经网络
模糊神经网络
推理机
fuzzy logic neural network fuzzy neural network reasoning mechanism
