欢迎您!
东篱公司
退出
申报数据库
申报指南
立项数据库
成果数据库
期刊论文
会议论文
著 作
专 利
项目获奖数据库
位置:
成果数据库
>
期刊
> 期刊详情页
A new deep neural network based on a stack of single-hidden-layer feedforward neural networks with r
ISSN号:0925-2312
期刊名称:Neurocomputing
时间:2016.1.1
页码:63-72
相关项目:基于深度学习的异构数据低维非线性表示
作者:
Hu, Junying|Zhang, Jiangshe|Zhang, Chunxia|Wang, Juan|
同期刊论文项目
基于深度学习的异构数据低维非线性表示
期刊论文 23
会议论文 2
同项目期刊论文
Independent Component Analysis Based on Information Bottleneck
Enhancing performance of the backpropagation algorithm via sparse response regularization
A sparse-response deep belief network based on rate distortion theory
Sparse Signal Reconstruction Based on Multiparameter Approximation Function with Smoothed l(0) Norm
线性回归模型的Boosting变量选择方法
Learning latent features by nonnegative matrix factorization combining similarity judgments
Singe value decompostion projection for solving the small sample size problem in face recognition
Enhancing low-rank subspace clustering by manifold regularization
A novel selective ensemble learning algorithm for imbalanced data classification based on explorator
An empirical study on the performance of cost-sensitive boosting algorithms with different levels of
L1/2,1 group sparse regularization for compressive sensing