基于人工智能的大数据信息网络技术研究  

Research on Big Data Information Network Technology Based on Artificial Intelligence

作　　者：陈小娟[1] CHEN Xiaojuan(Hubei University of Technology Engineering and Technology College,Wuhan Hubei 430068,China)

机构地区：[1]湖北工业大学工程技术学院,湖北武汉430068

出　　处：《信息与电脑》2020年第22期135-136,共2页Information & Computer

摘　　要：考虑到传统大数据信息网络技术的识别率低,本文提出基于人工智能的大数据信息网络技术.该技术通过处理初始化大数据信息,清理并除去数据自身污点异常,维持数据输入、输出前后的一致性;利用人工智能整理处理后的数据,将中心数值作为分隔,逐渐增加两侧的数据,使其最后无限趋近于中心值,计算每一个数据点到达中心点的距离绝对值,完成对大数据信息网络的自动搜索.实验结果表明,设计方法的识别率更高,能够证明其性能更好.Considering the low recognition rate of traditional big data information network technology,this paper proposes a big data information network technology based on artificial intelligence.By processing the initialization big data information,the technology cleans up and removes the data's own taint and anomaly,and maintains the consistency of data input and output;it uses artificial intelligence to sort out the processed data,takes the central value as the separation,and gradually increases the data on both sides,so that it finally approaches the center value infinitely,and calculates the absolute value of the distance from each data point to the central point Automatic search of big data information network.The experimental results show that the recognition rate of the design method is higher,which can prove its better performance.

关 键 词：人工智能 大数据 信息网络技术 数据聚类 

分 类 号：TN711[电子电信—电路与系统]