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.
借助模糊聚类技术和粗糙集理论提出了一个基于客观信息熵的多因素权重分配方法。
Using fuzzy aggregation theory and rough set theory, this article puts out a weight allocation method based on impersonal message entropy.
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.
作为一种重要的分类器，模糊聚类技术在磁共振图像的分割中已经得到了成功的应用，并成为了一种有效的磁共振图像的分割工具。
As an important classifier, fuzzy clustering technique has been widely used in segmentation of MRI image and became an effective segmentation tool of MR image.
以模糊聚类法为算法基础，运用计算机可视化技术，进行大气环境质量评价初步探索。
Based on the method of fuzzy comprehensive judgement, this paper applies the technique of computer visualization and probes into the evaluation of the atmospheric environment.
提出了一种基于模糊超球神经网络聚类与图像处理技术相结合的沉积微相识别方法。
In this paper we propose an automatic sedimentary facies identifying method based on combing fuzzy ellipsoidal neural networks and image process technology.
提出了一种基于模糊聚类和卡尔曼滤波的多运动目标检测的技术，并将其应用于车辆的检测与跟踪。
A kind of technique for detection of multiple moving objects based on fussy clustering and Kalman filtering was brought forward, and has been applied to vehicle detection and tracking.
一个用于聚类的工具箱，内有主元分析、模糊等技术的Matlab源代码和应用实例程序Demo。
One for clustering toolbox, with principal component analysis, fuzzy techniques, such as Matlab source code and application procedures for Demo.
本研究将模糊ISODATA聚类技术与CBR技术相结合，实现CBR在案例检索时的模糊不精确匹配推理，较好地仿真专家经验推理。
This study combined Fuzzy ISODATA clustering technology with CBR and realized the fuzzy imprecise matching reasoning in case retrieval, which emulates the reasoning of the expert experience.
由于GK模糊聚类能够自动地探测不同聚类形状，故其被认为是一类较好的用于分类的数据分析技术。
As a good data analysis tool, the GK fuzzy clustering can automatically detect different cluster shape. However, it has many shortcomings.
由于GK模糊聚类能够自动地探测不同聚类形状，故其被认为是一类较好的用于分类的数据分析技术。
As a good data analysis tool, the GK fuzzy clustering can automatically detect different cluster shape. However, it has many shortcomings.
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