%0 Journal Article
%T Dimensionality Reduction and Reconstruction of Data Based on Autoencoder Network<br>基于Autoencoder网络的数据降维和重构
%A Hu Zhao-hua
%A Song Yao-liang
%A <br>胡昭华
%A 宋耀良
%J 电子与信息学报
%D 2009
%I 
%X The curse of dimensionality is a central difficulty in many fields such as machine learning,pattern recognition and data mining etc.The dimensionality reduction method of characteristic data is one of the current research hotspots in data-driven calculation methods,which high-dimensional data is mapped into a low-dimensional space.In this paper,a special nonlinear dimensionality reduction method called "Autoencoder" is introduced,which uses Continuous Restricted Boltzmann Machine(CRBM) and converts high-dim...
%K Autoencoder network
%K High-dimensional data
%K Dimensionality reduction
%K Reconstruction<br>自编码网络
%K 高维数据
%K 降维
%K 重构
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=69F56902A44EDE57307A78AD75E9059E&yid=DE12191FBD62783C&vid=4AD960B5AD2D111A&iid=94C357A881DFC066&sid=53A4507B400B4E65&eid=D16E75D5E400A93D&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=11