A Multi-Source Heterogeneous Data Fusion Method Based on Deep Learning

摘要：

　　in the Context of Big Data,Combined with Deep Learning,This Paper Discusses the Problem of Multi-Source Heterogeneous Image Data Fusion.Based on the Basic Framework of Data Fusion,a Depth Generalization Model of Multi-Source and Heterogeneous Image Data Fusion is Designed.the Deep Learning Technology is Applied to the Information Extraction and Mining of Multi-Source and Heterogeneous Data.

关键词： Deep Learning Multi-Source Heterogeneous Data Data Fusion Information Extraction

作者: Xiaomei Yang Wenqiang Guo Zhonghua Zhao

作者单位: College of Information Management,Xinjiang University of Finance and Economics,Urumqi,830012,China College of Physics and Electronic Engineering,Xinjiang Normal University,Urumqi,830054,China

会议类型: 国际会议

会议名称: 2019 4th International Industrial Informatics and Computer Engineering Conference (IIICEC 2019)2019年第四届国际工业信息学和计算机工程会议(IIICEC 2019)

会议地点: 三亚

会议语种:英文

页码: 105-108

在线出版日期: 2019-12-30（万方平台首次上网日期，不代表论文的发表时间）