摘要
针对大数据背景下的情报分析预测问题,笔者分析了传统情报信息生产的短板,介绍了情报分析预测系统构建研究的目标与内容,研究了基于深度学习的高层特征选和目标体系动态构建关键技术,并从新的角度审视和尝试解决情报分析领域的核心需求。
Aiming at the problem of intelligence analysis and prediction under the background of big data,the author analyzes the shortcomings of traditional intelligence information production,introduces the objectives and contents of the research on the construction of intelligence analysis and prediction system,studies the key technologies of high-level feature selection and dynamic construction of target system based on deep learning,and examines and tries to solve the core requirements in the field of intelligence analysis from a new perspective.
作者
贾莹
Jia Ying(Southwest China Institute of Electronic Technology,Chengdu Sichuan 610036,China)
出处
《信息与电脑》
2020年第14期43-46,共4页
Information & Computer
关键词
情报分析
预测问题
高层特征
目标体系
动态构建
information analysis
prediction problem
high-level features
target system
dynamic construction