摘要
深度学习技术,近年来已经广受学术界和工业界的关注,已在图像处理及分类,自然语言处理和生物医疗领域中取得卓越成果.对于存在大量高维度数据的电力领域,引入深度学习的理论具有一定的意义.介绍了深度学习的几个经典模型结构、工作原理,以及相关领域的部分研究成果,并围绕深度学习在电力领域中的研究现状展开了论述,指出了存在的不足和未来研究的方向.
Deep Learning has received considerable attention from academia and industry and has got great result in Imagine Processing, Natural Language Processing and Medical Biology. It is significant to use DL in electric power field, which involves high dimension data. The several typical models in DL are described and some background knowledge about DL is introduced. Also, the main research and application in electric field are summarized. Finally, the some existing problems of DL in electric power filed are expounded, and some prospects of future work are presented.
出处
《上海电力学院学报》
CAS
2017年第4期341-345,361,共6页
Journal of Shanghai University of Electric Power
关键词
深度学习
人工智能
电力
deep learning
artificial intelligence
electric power
