fuzzy clustering的例句大全

A Fuzzy Clustering Diagnosis Model of Examination Paper

一类试卷诊断模糊聚类模型

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Application of fuzzy clustering analytical method to emporium classification in urban land classification and price appraisal

模糊聚类分析在土地定级估价商服中心类型划分中的应用

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On the research of fuzzy clustering analysis and application in poliomyelitis

关于Fuzzy聚类分析及其在脊髓灰质炎中的应用

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Arthropod community structure and its fuzzy clustering analysis in jujube orchard

枣园节肢动物群落结构及其模糊聚类分析

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Application of the "quantification& fuzzy clustering ste classification method" in the loess region of Qinghai Province

数量化&Fuzzy聚类立地分类法在青海黄土区造林立地评价中的应用

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Application Research of Fuzzy Clustering Analysis Based on Graphical Representation of DNA Sequences

基于图形表达的基因序列模糊聚类应用研究

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Fuzzy Clustering Analysis of Social Cost in Urban Communications

城市交通社会成本模糊聚类分析

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However, fuzzy clustering algorithm exist initial value sensitivity problem.

然而，模糊聚类算法存在初始值敏感问题。

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The Utility Program for Transitive Closure Method on Fuzzy Clustering Analysis

模糊聚类分析传递闭包法实用程序

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Topic Sentence Extraction Method Based on Weight Fuzzy Clustering and Mutual Information

基于WFC和MI的主题句提取方法

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An efficient pyramidal color image segmentation method with fuzzy clustering

高效的彩色图像塔形模糊聚类分割方法

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Texture Segmentation Based on Spatial Information and Fuzzy Clustering

基于空间信息与模糊聚类的纹理分割方法

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A New Fuzzy Clustering Algorithm of Categorical Data Set Based on the Kernel Method

基于核方法的分类型属性数据集模糊聚类算法

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Research on apparent pungency ratings for chili products based on fuzzy clustering analysis

基于模糊聚类分析的辣椒制品表观辣度分级研究

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Fuzzy clustering of human body pulse signals based on AR model

基于AR模型的人体脉象信号模糊聚类研究

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Study of Texture Segmentation Methods Based on Fuzzy Clustering and Neural Networks

基于模糊聚类及神经网络的纹理分割方法研究

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A model for Airport Target Selection Based on Fuzzy Clustering Analysis

基于模糊聚类方法的机场目标选择模型

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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。

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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。

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The whole identification process takes much less CPU time than the fuzzy clustering method and the error-feedback learning algorithm.

整个辨识过程与模糊聚类方法[8]和误差反馈学习方法[5]相比所需的CPU时间最短。

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