Hence, micro seismic facies analysis can be successfully achieved using interactive interpretation system plus fuzzy dynamic clustering and pattern recognition.
据此。本文应用模糊动态聚类和模式识别相结合的方法，在人机交互解释系统上自动实现微地震相分析。
To evaluate embankment safety, this paper constructs the models obtaining subjective and objective weight of experts with the methods of fuzzy mathematics, pattern recognition and dynamic clustering.
利用模糊数学和模式识别理论以及动态聚类方法等，提出了堤防工程安全评估专家主观和客观赋权模型；
Objective to introduce a dynamic fuzzy clustering algorithm and use it to do the study of segmentation of the brain in MRI.
目的介绍一种动态模糊聚类算法并利用该算法对磁共振图像进行分割研究。
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。
Based on the theory of fuzzy clustering and subjective trust coordination model, the paper proposes dynamic definition of trust class, which provides the basis of trust evaluation between entities.
结合主观信任协作模型，引入模糊聚类理论，提出了基于模糊聚类的信任类型动态定义机制，为各主体之间的信任评估提供了依据。
This paper proposed a new model of dynamic fuzzy Kohonen neural network (TGFCM), which was applied to the text clustering.
提出了一种新的动态模糊自组织神经网络模型(TGFCM)，并将其用于文本聚类中。
The law of fuzzy clustering confirms the best threshold and determines the dynamic clustering figure by data's standardization, shift and range transform.
模糊聚类法通过数据标准化，平移及极差变换、确定最佳阙值和求解动态聚类图。
With full use of computer vision and fuzzy clustering analysis, dynamic clustering analysis for stored-grain pests was achieved.
综合利用计算机视觉技术和模糊聚类分析技术，实现了对粮仓害虫的动态模糊聚类分析。
The paper analyzes the characteristics of fuzziness of dynamic space occupancy of different vehicles on urban arterials, and classifies the different vehicles by means of fuzzy clustering.
从定义各类型车辆所占用的动态空间瞬时车道占有率入手，提出了以车辆瞬时占用车道长度与速度的比值为参数，基于模糊动态聚类对车辆进行分类的方法。
The results show that, in the case of lacking priori knowledge, fuzzy clustering analysis is superior to dynamic state clustering analysis when the number of samples is small.
结果表明：模糊聚类分析法对于先验知识较少、样本量不大时，性能较佳。
The results show that, in the case of lacking priori knowledge, fuzzy clustering analysis is superior to dynamic state clustering analysis when the number of samples is small.
结果表明：模糊聚类分析法对于先验知识较少、样本量不大时，性能较佳。
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