智能系统学报2016，Vol.11Issue(6)：728-742,15.DOI:10.11992/tis.201611021
大数据与深度学习综述
Deep learning with big data: state of the art and development
摘要
Abstract
As the era of the big data arrives, it is accompanied by profound changes to traditional data science based on statistics.Big data also pushes innovations in the methods of data analysis.Deep learning that evolves from machine learning and multilayer neural networks are currently extremely active research areas.From the symbolic machine learning and statistical machine learning to the artificial neural network, followed by data mining in the 90s, this has built a solid foundation for deep learning (DL) that makes it a notable tool for discovering the potential value behind big data.This survey compactly summarized big data and DL, proposed a generative relationship tree of the major deep networks and the algorithms, illustrated a broad area of applications based on DL, and highlighted the challenges to DL with big data, as well as identified future trends.关键词
大数据/机器学习/深层结构/深度学习/神经网络/人工智能/学习算法/派生树Key words
big data/machine learning/deep network/deep learning/neural network/artificial intelligence/learning algorithm/derivation tree分类
信息技术与安全科学引用本文复制引用
马世龙,乌尼日其其格,李小平..大数据与深度学习综述[J].智能系统学报,2016,11(6):728-742,15.基金项目
国家自然科学基金项目(61003016,61300007,61305054) （61003016,61300007,61305054）
科技部基本科研业务费重点科技创新类项目(YWF-14-JSJXY-007) （YWF-14-JSJXY-007）
软件开发环境国家重点实验室自主探索基金项目(SKLSDE-2012ZX-28,SKLSDE-2014ZX-06). （SKLSDE-2012ZX-28,SKLSDE-2014ZX-06）
