根据聚类中心分离原则提出了三个新的模糊聚类模型。
In this paper, three novel fuzzy clustering models are proposed based on the principle of cluster center separation.
然后提出新的模糊综合决策与模糊聚类模型，文中也指出了ISODATA聚类方法存在的不足。
Then, it presented the new fuzzy decision making and clustering models. The paper also pointed out the defects in fuzzy ISODATA method.
介绍模糊数学的基本概念，建立了用于缺陷模糊模式识别的两种数学模型，即模糊集法与模糊聚类法。
The concept of fuzzy mathematics is described and two fuzzy pattern recognition models of flaws based on fuzzy set method and fuzzy cluster method have been established.
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。
On the basis of a evolving clustering method (ECM), a new modeling approach of T-S type dynamic fuzzy inference model is proposed.
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。
This paper proposed a new model of dynamic fuzzy Kohonen neural network (TGFCM), which was applied to the text clustering.
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。
A novel multi-context text fuzzy clustering method and its model based on formal concept analysis and concept similarity is proposed.
最后基于机理分析和模糊聚类技术建立了密闭鼓风炉过程操作参数优化决策模型。
Combining the mechanism analysis with Fuzzy Clustering technique, an optimization and decision-making model about operating parameters in the ISF smelting process is built.
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 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.
本文通过改进模糊聚类方法确定模糊模型的前件结构，然后对经模糊聚类得到的模糊前件推理矩阵进行QR分解。
In the paper, the premise structure of fuzzy model is obtained by the improved fuzzy clustering. Fuzzy inference matrices are decomposed on the basis of QR decomposition.
通过以全体样本对全体类别加权广义欧氏权距离平方和最小为目标函数，建立了模糊聚类、识别与优选决策统一的理论与循环迭代模型。
With the minimum square sum of weighted Euclidean distances as the objective function, the unified theory and cyclical iteration model of fuzzy cluster, recognition and optimum decision are founded.
用基于T - S模型的自适应模糊聚类辨识算法对系统进行辨识。
An adaptive fuzzy clustering identification algorithm is employed to get the T-S fuzzy model of a system.
本文从不同树种、不同时间、空间的分布出发，应用模糊聚类分区模型先对样本进行分类，以便确定有关参数。
The article applies fuzzy gathering distribution model and distribute species from different trees, time and space decides on the related parameter.
本文通过实例应用，验证了模糊聚类在分析矿业城市竞争力模型中的合理性和有效性。
Through practical application, verify the fuzzy clustering analysis of the competitiveness of mining cities in the model is reasonable and effective.
然后介绍了如何使用模糊聚类算法和等价的前馈神经网络从样本数据中辨识离散的TS模型。
Then we introduce how to identify the TS model from sample data using fuzzy clustering algorithm and equivalent feedforward neural network.
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；
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.
该方法利用模糊似然函数对样本数据进行聚类，并使模糊模型的结构辨识和参数辨识能同时完成，从而实现模糊模型的在线辨识。
The proposed method can accomplish the structure identification and the parameter identification of the fuzzy model in the same time, and implements the on-line identification of the fuzzy model.
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。
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.
通过改进模糊聚类方法确定模糊模型的前件结构，并对模糊推理关系矩阵进行正交最小二乘估计。
The premise structure of fuzzy model is confirmed by the improved fuzzy clustering, and fuzzy relation matrix of fuzzy model is confirmed by orthogonal least square.
模糊模型的前件和后件参数分别采用模糊C均值聚类（FCM）和正交最小二乘法（OLS）进行离线或在线辨识。
The T-S fuzzy model's parameters are identified by methods of fuzzy C mean(FCM) and orthogonal least-squares(OLS) online or otherwise.
其中模糊聚类是核心，模糊识别与优选决策模型均由模糊聚类导出。
Fuzzy cluster is the kernel among them. Pattern recognition and optimum decision are developed by fuzzy cluster.
提出了新颖的最优模糊聚类神经网络模型对机械手运动轨迹进行控制。
This paper presents a novel framework for trajectory tracking of robotic manipulators based on the optimal fuzzy clusting neural network system.
建立了煤炭资源产分类的影响因素评价指标体系，以及基于聚类的综合评判模糊分类模型，探讨了煤炭资源资产分类的模糊数学方法，并通过实例进行了检验。
In the paper the evaluation index system of factors influencing the value of coal resources assets is set up, and fuzzy models for the classification of coal resources assets are given.
在hsl颜色模型的基础上，提出了基于模糊颜色聚类的缺陷分割方法。
On the basis of HSL color model, a defect segmentation method based on fuzzy color clustering is proposed.
最后，试验证实了图像分割办法基于云模型比该办法基于模糊凯西意味着聚类和办法基于凯西的办法。
Lastly, the experiments proved the method of image segmentation based on cloud model is better than the method based on fuzzy K means cluster and the method based on K means.
本文提出了一种模糊查询控制的模型，这个模型吸收了两种思想，即有穷自动机思想和聚类分组算法，基础是采用了分组算法。
This passage presents a model of fuzzy query control, which absorbs two kinds of conceptions that is DMA and Clustering Algorithm, with the Clustering Algorithm as the most basic groundwork.
通过建立应急物资模糊综合评价模型，结合层次聚类方法对数据分析，确定不同种类应急物资的储备模式。
A fuzzy comprehensive evaluation model of emergency materials is established and hierarchical clustering method is used to identify different types of emergency materials reserve pattern finally.
通过建立应急物资模糊综合评价模型，结合层次聚类方法对数据分析，确定不同种类应急物资的储备模式。
A fuzzy comprehensive evaluation model of emergency materials is established and hierarchical clustering method is used to identify differ...
通过建立应急物资模糊综合评价模型，结合层次聚类方法对数据分析，确定不同种类应急物资的储备模式。
A fuzzy comprehensive evaluation model of emergency materials is established and hierarchical clustering method is used to identify differ...
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