A fuzzy clustering method for recognizing coherent generator groups in power system is proposed in this paper.
给出了一种能识别电力系统同调机群的模糊聚类方法。
In this paper, the fuzzy clustering method is introduced to identify coherent generator groups in power system.
引入模糊聚类方法识别电力系统同调机群。
A novel multi-context text fuzzy clustering method and its model based on formal concept analysis and concept similarity is proposed.
基于形式概念分析和概念相似度，给出一种新的多背景文本模糊聚类方法和模型。
Fuzzy entropy is defined at first, then a new fuzzy clustering method based on maximum fuzzy entropy is proposed, that is GCM method.
介绍了一种新的模糊聚类方法，定义了模糊熵，提出了基于最大模糊熵的模糊聚类的方法，得到了一种新的聚类算法——GCM算法。
The general fuzzy clustering method used to classify the flow units will cause the mismatch of the clustering parameters with each other.
单纯应用聚类分析划分流动单元容易出现聚类指标的优劣交叉现象，从而给流动单元的分类带来困难。
Analyze the parameters of the fuzzy clustering method, ensure the self-adaptive clustering of the generators by the fuzzy statistical index.
对模糊聚类的方法进行了参数分析，引入指标保证了发电机分群的自适应性。
Regionalization of the water resources in this area has been proved by using fuzzy clustering method, through which 3 types have been settled.
本文试用模糊聚类方法，对该地区的水资源区划进行探讨，初步得出3个类型的划分。
Characteristics of coloured dissolved organic matter (CDOM) between the summer and winter in Taihu Lake were analyzed using an fuzzy clustering method.
利用模糊聚类的方法，分析了冬、夏季全太湖有色溶解有机质(CDOM)的吸收系数谱的时空演变特征。
The fuzzy similarity method and fuzzy clustering method have been used to identify the seismic gaps and examine the similarity in temporal variation of seismic activity.
此外，还把模糊相似方法和模糊聚类方法应用于识别地震空区及检验地震活动随时间变化的相似性。
Aimed at the disadvantages of fuzzy C-means in fault diagnosis of steam turbine set, a weighted fuzzy clustering method based on particle swarm optimization is put forward.
针对模糊c -均值算法在汽轮机故障诊断中的不足，提出了粒子群优化加权模糊聚类分析的方法。
The fuzzy space and the number of fuzzy rules of this model are defined by the fuzzy clustering method and weight coefficients of the model are adjusted by the BP algorithm.
该模型利用模糊聚类技术确定系统的模糊空间和模糊规则数，利用BP算法调整模糊神经网络的权系数。
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.
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.
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。
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