太赫兹科学与电子信息学报2023，Vol.21Issue(12)：1485-1491,7.DOI:10.11805/TKYDA2021202
面向电磁大数据分析的图形化编程平台
Graphical programming platform for electromagnetic big data mining analysis
摘要
Abstract
In the era of big data,how to quickly extract effective information from the massive,complex and diverse electromagnetic big data based on artificial intelligence technology represented by machine learning is a research hotspot.However,machine learning algorithms for electromagnetic data are diverse and variable,and it is difficult for the people without relevant professional and programming knowledge to get started.To solve the complex programming problem of Electromagnetic(EM)big data mining,a graphical programming platform for EM big data is proposed.Various algorithms of machine learning are designed into independent components so that users can build machine learning models and workflows to analyze data without writing code.The EM data is analyzed by visual diagrams to help users better understand the data.The platform can bulid workflows quickly and it is easy for users to get started.关键词
电磁大数据/机器学习/可视化/图像化编程Key words
electromagnetic big data/machine learning/visualization/graphical programming分类
信息技术与安全科学引用本文复制引用
丁鹿新,刘云浩,程君翊,朱骏,王祥丰,金博..面向电磁大数据分析的图形化编程平台[J].太赫兹科学与电子信息学报,2023,21(12):1485-1491,7.基金项目
电子信息控制重点实验室开放基金资助项目 （）
