...网络模糊聚类;团—点相似度;团间连接紧密度;团间连接贡献度;对称非负矩阵分解;网络宏观拓扑 中国联盟编辑。 [gap=864]Key words:network fuzzy clustering; clique-node similarity; clique-clique closeness degree; inter-clique connectio..
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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.
此聚类算法可以在线地划分输入数据，逐点地更新聚类，自己组织模糊神经网络的结构。
This clustering algorithm can on-line partition the input data, pointwise update the clusters, and self-organize the fuzzy neural structure.
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