基于数学技术和信息技术的数据融合方法  

Data Fusion Method Based on Mathematical Technology and Information Technology

作　　者：张文健[1] ZHANG Wen-jian(Basic Department,Xuzhou Vocational College of Bioengineering,Xuzhou 221006,China)

机构地区：[1]徐州生物工程职业技术学院基础部,江苏徐州221006

出　　处：《广州城市职业学院学报》2023年第2期92-95,100,共5页Journal Of Guangzhou City Polytechnic

摘　　要：数学技术和信息技术的结合,为数据融合提供了一个新的思路。通过对数学技术和信息技术之间的关系进行分析,发现二者之间相辅相成、共同发展。在此基础上,构建了数据特征提取分类模型,同时实现对无监督数据和有监督数据的特征提取和分类;根据数据特征提取和分类结果,选取合适的数据融合算法;通过不断地分簇、选取簇首节点实现数据采集、传输与融合。在对比仿真实验中,对比所提方法与其他方法可以得出结论:无论数据样本和特征提取分类模型如何变化,所提方法都可取得最高的数据融合正确率。The combination of mathematical technology and information technology provides a new idea for data fusion.By analyzing the relationship between mathematical technology and information technology,it is found that they complement each other and develop together.On this basis,the classification model is constructed,while the feature extraction and classification of unsupervised data and supervised data,data collection,transmission and fusion are realized at the same time.Comparing the proposed method and other methods in the expanded comparative simulation experiment,it can be concluded that no matter how the data sample and the feature extraction classification model change,the proposed method can achieve the highest data fusion accuracy.

关 键 词：数学技术 信息技术 特征提取分类模型 无监督数据融合 簇首节点 

分 类 号：TP30[自动化与计算机技术—计算机系统结构] O29[自动化与计算机技术—计算机科学与技术]