fuzzy clustering algorithm meaning in Chinese
模糊簇聚算法
Examples
- In chapter four , the importance of anti - jamming performance of communication system evaluation is explained firstly . next three fuzzy cluster algorithms such as fuzzy equivalent matrix ( fem ) and fuzzy - c means ( fcm ) methods are proposed for evaluation of anti - jamming communication system . on the bases of fuzzy cluster , the fuzzy pattern recognition application is introduced in communication system
第四章则采用模糊聚类的方法对通信系统的综合抗干扰性能进行了评估,介绍了包括模糊等价矩阵、模糊c -均值聚类等三种模糊聚类方法的基本原理,在模糊聚类的基础上,讨论了模糊识别在通信中的应用,进一步建立了抗干扰的指标体系。 - From the point view of modeling and control , we discuss the application of fuzzy theory in complex industrial process control in this paper . the main contents are concluded as follows : ( 1 ) based on improved fuzzy clustering algorithm , we research on fuzzy modeling method . the notion of considering both the precision and the interpretation of fuzzy models were presented at first
本文从建模与控制的角度出发，对模糊理论在复杂工业过程控制中的应用进行了研究，主要内容有： ( 1 )研究了基于改进聚类算法的模糊建模方法：提出了模糊模型的精确性和可解释性并重的概念，并对可解释性进行了阐述。 - Chapter three discusses the vibration information based automatic diagnosis mehtod . the acquisition of spectrum feature of fault pattern class by the fuzzy clustering algorithm is the bisis of pattern recognition in the level of fault class . the result acquired by fuzzy relationship between vibration symptom and fault shows the feature of fuzzy - relation - based method
第三章主要研究基于振动信息的自动诊断方法，建立了故障模式类的概念，根据模糊聚类算法确定了故障标准模式类及其频谱特征，为在故障模式类层次上的模式识别提供了理论基础；研究了模糊关系诊断结果的分布规律；建立了综合诊断实现了基于综合诊断方法的多机组、多测点在线诊断。 - Based on fuzzy clustering algorithm , we studied the objective function of the traditional fuzzy c - means algorithm and proposed a modified objective function for fcm ; we discussed clustering validity problem , and a texture segmentation method based on adaptive fcm has been constructed by the guidance of fuzzy clustering validity
在介绍聚类算法的基础上，研究了模糊c -均值聚类算法目标函数的改进问题，提出了基于修正目标函数的fcm算法；讨论了聚类有效性问题，在模糊聚类有效性函数指导下构造了一种自适应模糊c -均值聚类算法的纹理分割方法。