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 new fuzzy clustering method and a distributed neural network are introduced, and the theory and their applications are stressed.
提出了一种新的模糊聚类方法，构造了分布式模糊神经网络，并重点附述了它们的原理与方法。
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。
Using fuzzy clustering method analysis the case reconnaissance data, the problem of reconnaissance data automatically cluster is solved.
利用模糊聚类方法对案件侦察数据进行了分析，解决了侦察数据自动聚类分析问题。
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。
The predicted results are proved that it is feasible in predicting coal and gas outburst and more reliable than the fuzzy clustering method.
结果表明，该方法是可行的且比模糊聚类方法更具可靠性。
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。
An efficient segmentation method based upon fuzzy c-means (FCM) clustering principles is proposed. The approach utilizes a pyramid data structure for the hierarchical ana - lysis of color images.
这里提出了一种高效的基于模糊c均值(FCM)聚类的彩色图像分割方法，它利用塔形数据结构对彩色图像进行多层分割。
In fact, it is a new method of fuzzy clustering.
实际上，它是一种新的模糊聚类的方法。
Here we use a method of clustering analysis based on the fuzzy equivalent relation.
我们这里采用的是基于模糊等价关系的聚类分析方法。
Inspired by the nonnegative matrix factorization algorithm, we put forward an fuzzy text clustering method based on nonnegative factor analysis.
本文借助于非负矩阵分解算法，提出了一种基于非负因子分析的模糊文本聚类方法。
A method based on fuzzy C-mean clustering and image matching algorithms are proposed to detect atomization Angle and uniformity, applied to performance test-bed of engine nozzle.
提出了基于模糊C均值聚类和图像匹配，检测喷雾锥角和喷雾不均匀度的方法，并应用于发动机喷嘴性能检测。
This paper presents a direct clustering method through Fuzzy similarity matrix.
给出了一个利用模糊相似矩阵直接进行聚类的方法。
In this paper, we will bring fuzzy clustering analyse into a kind of investment decisions in fuzzy conditions, and provide a quantitative and mathematical method to solve such questions.
文章针对公交客运班线开通时出现的状况区分不确切、边界不清楚的情况，引入了模糊聚类分析方法，将模糊情景问题进行了定量化和数学化。
On the basis of a evolving clustering method (ECM), a new modeling approach of T-S type dynamic fuzzy inference model is proposed.
以一种进化聚类算法(ecm)为基础，提出了一种新的T - S型动态模糊推理模型的建模算法。
This paper proposed a fuzzy identification method for nonlinear systems which were based on decomposing clustering of the worst subspace.
该文提出了一种基于最差子空间分解聚类的非线性系统模糊辨识方法。
Applying the method of fuzzy clustering, the author made an effective analysis of the agricultural economy type and agricultural economy climate in Jilin province.
利用模糊数学中的聚类分析方法，对吉林省农业经济类型和农业气候进行划分。
The weighting was gathered by relative indexes in comprehensive clustering; the indexes could by received by using fuzzy analysis method and expert experience evaluation.
其相应指标在综合聚类中得权重，可采取模糊分析等方法由专家经验估算后给出。
The weighting was gathered by relative indexes in comprehensive clustering; the indexes could by received by using fuzzy analysis method and expert experience evaluation.
其相应指标在综合聚类中得权重，可采取模糊分析等方法由专家经验估算后给出。
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