与此同时，分别设计了模糊系统聚类法和模糊等价矩阵法两种模糊网络模式识别方法对局部放电信号进行识别，作为局部放电模式识别对比实验。
At the same time, fuzzy hierarchical clustering and fuzzy equivalence matrix method based on fuzzy logical are designed for partial discharge pattern recognition as contrasting experiment.
该方法是在原有模糊聚类法的基础上，推导出的在线自适应模糊推理算法，可应用在时变非线性系统参数在线辨识中。
The method is a kind of on line adaptive fuzzy reasoning which is deduced based on fuzzy clustering method. The method can be used in parameters identification of time-varying system.
结果表明，系统聚类算法在这四种算法中最有效，而峰值搜索法优于模糊C均值和诱导的模糊c分划算法。
The results obtained indicate that HCAM is the most powerful algorithm of the four, and that GFAM is more powerful than FCM and IFC...
结果表明，系统聚类算法在这四种算法中最有效，而峰值搜索法优于模糊C均值和诱导的模糊c分划算法。
The results obtained indicate that HCAM is the most powerful algorithm of the four, and that GFAM is more powerful than FCM and IFC...
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