Including optimizing the structure of clustering neural networks based on grid and density and an interval-valued fuzzy competitive neural network based on distance. Experiments show the two algorithms can improve clustering results validly.
其中包括基于网格和密度的聚类神经网络结构优化以及一种区间值模糊竞争神经网络,实验证明这两种方案能够有效改善网络的聚类效果。
参考来源 - 模糊模式聚类问题的底摩根代数聚类特性·2,447,543篇论文数据，部分数据来源于NoteExpress
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.
为了获得滤除噪声和细节保留两方面更好的平衡，提出了一种自适应模糊聚类神经网络。
AFCN (adapted fuzzy cluster neural network) is introduced to keep up trade-off between noise attenuation and detail preservation in image processing.
三是深入研究模糊聚类神经网络的结构优化方法，提出两种模糊聚类神经网络优化方案。
At last we deeply studies the methods of optimizing the structure of fuzzy clustering, and proposes two algorithms.
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