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分层模糊最小-最大聚类算法
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作者 杨静 高隽 +1 位作者 徐小红 刘旭 《模式识别与人工智能》 EI CSCD 北大核心 2007年第4期558-564,共7页
聚类是非监督学习的关键问题.本文在模糊最小-最大聚类网络(FMMCN)和分层聚类思想的基础上,提出一种分层模糊最小-最大聚类算法.与目前的常用聚类算法相比,该方法可以根据问题需要动态确定聚类数目,并克服 FMMCN 样本输入次序依赖性的缺... 聚类是非监督学习的关键问题.本文在模糊最小-最大聚类网络(FMMCN)和分层聚类思想的基础上,提出一种分层模糊最小-最大聚类算法.与目前的常用聚类算法相比,该方法可以根据问题需要动态确定聚类数目,并克服 FMMCN 样本输入次序依赖性的缺陷.对相关数据集的实验结果表明该方法具有优良的聚类性能. 展开更多
关键词 非监督学习 聚类 模糊最小-最大聚类网络(FMMCN) 分层模糊最小-最大聚类(hfmm)
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2-D NUMERICAL SIMULATION OF CRUSH BEDROCK RIVER 被引量:3
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作者 YINZe-gao ZHANGTu-qiao +1 位作者 SUNDong-po LIGuo-qing 《Journal of Hydrodynamics》 SCIE EI CSCD 2004年第4期449-454,共6页
In this paper, the erosion-resisting coefficient was introduced to computebed deformation in a crush bedrock river. In the case of crush bedrock, there has been no propercontrol equation to describe bed stability, whi... In this paper, the erosion-resisting coefficient was introduced to computebed deformation in a crush bedrock river. In the case of crush bedrock, there has been no propercontrol equation to describe bed stability, which leads to difficulty in calculation of the beddeformation with conventional methods. The data from field survey were used to give thee-rosion-resisting capability with an appropriate coefficient. After the determination oflongitudinal distribution expressed by polynomial regression and transversal distribution expressedby normal distribution function, the plane distribution of erosion-resisting coefficient in a crushbedrock river was obtained. With the computational results from a 2-D horizontal flow mathematicalmodel, the erosion-resisting coefficient and controlling condition of local stability were employedto compute the values of bed deformation when riverbed is stable. The above method was applied in acase study, and the computational results of flow and bed deformations are in good a-greement withphysical model test data. 展开更多
关键词 numerical simulation 2-D horizontal flow mathematical model (hfmm) erosion-resisting coefficient (ERC) bed deformation crush bedrock river
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