Fuzzy cluster is one of the branches of knowledge discovery in database (KDD). And neural network is a good tool for clustering.
模糊聚类是目前知识发现(KDD)领域中的研究分支之一，而神经网络是用于聚类的良好工具。
This paper proposed a new model of dynamic fuzzy Kohonen neural network (TGFCM), which was applied to the text clustering.
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。
By using the methods of subtraction clustering and adaptive fuzzy neural network, a sort of motion planner for the underwater vehicle was designed.
使用减法聚类和自适应模糊神经网络方法设计了一种水下机器人运动规划器。
Since an FCM based self adaptive fuzzy clustering technique is employed to determine the proper structure of the FNN and set the initial weights in advance, the network can be trained rapidly.
由于预先运用基于FCM的自适应模糊聚类方法确定模糊神经元网络合理的结构，并设置网络的初始权值，从而可提高网络的训练速度。
A new fuzzy clustering method and a distributed neural network are introduced, and the theory and their applications are stressed.
提出了一种新的模糊聚类方法，构造了分布式模糊神经网络，并重点附述了它们的原理与方法。
The whole network has not only the learning ability to neural network, but also the logic ability to fuzzy system based on rules, especially the automatic clustering ability to sub-class.
整个网络既有神经网络的学习能力，又有模糊系统的基于规则的推理能力，特别是对子类的自动聚类能力。
Then we introduce how to identify the TS model from sample data using fuzzy clustering algorithm and equivalent feedforward neural network.
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。
To improve the diversity of similar cases, similarity retrieval method based on partitioned clustering and General Fuzzy Min-Max neural network is developed.
为解决相似案例差异性问题，提出了基于划分聚类和模糊神经网络的设计案例相似性检索方法。
To evaluate the sewing ability of the fabric objectively before being garment, a prediction system based on supervised fuzzy clustering neural network (SFCNN) for garment seams is proposed.
为在面料成衣之前客观评价其缝纫性能，提出了一种基于监督模糊聚类客观评价方法。
Using the methods of subtraction clustering and auto-adapted nerve fuzzy network, a sort of motion planner for the underwater vehicle is designed.
使用减法聚类和自适应神经模糊网络方法设计了一种水下机器人运动规划器。
According to the features of wireless network data, this paper puts forward a data complement algorithm based on fuzzy clustering.
根据无线网络业务数据的特点，提出一种基于模糊聚类的数据填补算法。
This case USES combined with fuzzy clustering and generalized regression neural network clustering algorithm for intrusion data classification.
本案例采用结合模糊聚类和广义神经网络回归的聚类算法对入侵数据进行分类。
This case USES combined with fuzzy clustering and generalized regression neural network clustering algorithm for intrusion data classification.
本案例采用结合模糊聚类和广义神经网络回归的聚类算法对入侵数据进行分类。
应用推荐