摘要
智慧医院复杂网络链路权重分配比例具有不确定性,导致链路预测难度较大。为此,构建基于改进模糊聚类的复杂网络链路预测数学模型。根据网络节点密度,判断网络节点的连接程度,并完成节点的初期模糊聚类。确定共同节点,分析节点的相似性,通过映射方式判断存在链路的可能性,叠加节点之间的相似度和游动状态,实现节点优化聚类,建立预测模型。建立无向无权重节点网络矩阵和无向有权重节点网络矩阵,根据计算结果得到误差偏向数值,反复迭代,实现链路预测。根据实验结果可知,该文所构建的数学模型针对不同权重的智慧医院复杂网络链路,预测准确率可稳定在90%以上。
The link weight distribution ratio of the complex network of smart hospitals is uncertain,which leads to the difficulty of link prediction.Therefore,a mathematical model of complex network link prediction based on improved fuzzy clustering is constructed.According to the density of network nodes,judge the connection degree of network nodes,and complete the initial fuzzy clustering of nodes.Determine common nodes,analyze the similarity of nodes,judge the possibility of links through mapping,superimpose the similarity and swimming state between nodes,realize node optimization clustering,and establish a prediction model.The undirected weighted node network matrix and undirected weighted node network matrix are established.The error bias value is obtained according to the calculation results,and the link prediction is realized by iterating repeatedly.According to the experimental results,the prediction accuracy of the mathematical model constructed in this paper can be stabilized at more than 90%for the complex network links of smart hospitals with different weights.
作者
袁娟
YUAN Juan(Suining Hospital of Traditional Chinese Medicine,Suining 629000,China)
出处
《电子设计工程》
2023年第19期153-156,161,共5页
Electronic Design Engineering
关键词
改进模糊聚类
复杂网络链路
链路预测
数学建模
智慧医院
医院建设
improved fuzzy clustering
complex network link
link prediction
mathematical modeling
smart hospital
hospital construction
