计算机工程与应用2018，Vol.54Issue(1)：11-18,47,9.DOI:10.3778/j.issn.1002-8331.1711-0028
深度置信网络模型及应用研究综述
Survey on deep belief network model and its applications
摘要
Abstract
This paper firstly introduces the development of Deep Belief Network(DBN)based on theory foundation. Afterwards, the difference between deep network structure and shallow network structure is analyzed. Finally, the literature makes a study and analysis of DBN, in the field of text detection, facial and expression recognition, and remote sensing image classification by quoting multiple representative documents. Through a comprehensive introduction to the deep learning model DBN and deeply understanding the construction and practical application of DBN, it provides researchers with the idea of improving DBN and applying it to a wider emerging field in the future.关键词
深度置信网络/文字检测/人脸及表情识别/遥感图像领域Key words
Deep Belief Network(DBN)/text detection/facial and expression recognition/remote sensing image field分类
信息技术与安全科学引用本文复制引用
刘方园,王水花,张煜东..深度置信网络模型及应用研究综述[J].计算机工程与应用,2018,54(1):11-18,47,9.基金项目
国家自然科学基金(No.61602250,No.61503188) （No.61602250,No.61503188）
江苏省自然科学基金(No.BK20150983,No.BK20150982) （No.BK20150983,No.BK20150982）
江苏省高校自然科学研究面上项目(No.16KJB520025,No.15KJB470010). （No.16KJB520025,No.15KJB470010）
