This paper introduces the basic theory and the FCM (fuzzy cognitive map) arithmetic, constructs FCM model of the instrument in laboratory to achieve the control goal by FCM.
将模糊认识图理论引入企业柔性的研究，应用模糊认知图的构建和仿真来揭示企业柔性系统的内部运行机制。
The improved FCM algorithm applied with the region fitting term of CV model, working as the reliance of evolving the level-set curve.
再将改进后的FCM算法应用到CV模型的区域检测项，可较准确地使像素点归类，以此作为曲线的演化依据。
In this paper, the identified parameter is used as feature vector of the load model cluster analysis; HCM and FCM are used as the classification algorithm.
本文选用辨识参数作为模型聚类分析的特征向量，分别用HCM算法和FCM算法进行了分类研究。
This paper presents a new method which is FCM based on the model of visual attention image segmentation.
本文提出了一种基于视觉注意模型的FCM的图像分割方法。
Modifying the objective function of FCM and introducing a variable as the parameter to control the tight degree of neighborhood effect present a spatial model to FCM clustering algorithm.
本文改进了传统FCM的目标函数，引入控制邻域作用紧密程度的参数，提出了一种能够更加合理地运用图像的空间信息，改进的模糊c -均值聚类算法。
The fracture properties of RPC(Reactive Powder Concrete) and fibre RPC are analyzed by the Fictitious Crack Model(FCM) and the linear elastic fracture mechanics.
采用虚拟裂缝模型结合线弹性断裂力学的方法，分析了RPC（活性粉末混凝土）及纤维增强RPC的断裂特性；
The fracture properties of RPC(Reactive Powder Concrete) and fibre RPC are analyzed by the Fictitious Crack Model(FCM) and the linear elastic fracture mechanics.
采用虚拟裂缝模型结合线弹性断裂力学的方法，分析了RPC（活性粉末混凝土）及纤维增强RPC的断裂特性；
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