跳到主要导航
跳到搜索
跳到主要内容
西北工业大学 国内
English
中文
国内
简介
研究单位
科研成果
按专业知识、名称或附属进行搜索
Nonlinear Feature Selection Neural Network via Structured Sparse Regularization
Rong Wang
, Jintang Bian,
Feiping Nie
, Xuelong Li
光电与智能研究院
Northwestern Polytechnical University Xian
科研成果
:
期刊稿件
›
文章
›
同行评审
3
引用 （Scopus）
综述
指纹
指纹
探究 'Nonlinear Feature Selection Neural Network via Structured Sparse Regularization' 的科研主题。它们共同构成独一无二的指纹。
分类
加权
按字母排序
Computer Science
Cross Entropy Loss Functions
20%
Data Preprocessing
20%
Discriminative Feature
40%
Experimental Result
20%
Feature Extraction
100%
Feature Selection
100%
Gradient Descent Method
20%
High Dimensional Data
40%
Linear Transformation
20%
Neural Network
100%
Neural Network Model
20%
Regularization
100%
Sparsity
40%
Synthetic Datasets
20%
Transformation Matrix
20%
World Application
20%
Engineering
Data Preprocessing
20%
Data Sample
20%
Dimensional Data
40%
Experimental Result
20%
Feature Extraction
100%
Gradient Descent Method
20%
Hidden Layer
20%
Input Layer
20%
Linear Transformation
20%
Loss Function
20%
Network Model
20%
Nonlinear Feature
100%
Real World Application
20%
Regularization
100%
Selection Method
20%
Sparsity
40%
Transformation Matrix
20%
Chemical Engineering
Neural Network
100%