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科研机构
西安交通大学 [19]
内容类型
期刊论文 [15]
会议论文 [4]
发表日期
2018 [1]
2016 [3]
2013 [2]
2012 [3]
2011 [2]
2010 [2]
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专题:西安交通大学
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An effective hierarchical extreme learning machine based multimodal fusion framework
期刊论文
Neurocomputing, 2018, 卷号: 322, 页码: 141-150
作者:
Du, Fang
;
Zhang, Jiangshe
;
Ji, Nannan
;
Shi, Guang
;
Zhang, Chunxia
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/11/26
Classification performance
Extreme learning machine
Feature classification
Learning efficiency
Multi-modal fusion
Multi-modal learning
Proposed architectures
Single-hidden layer feedforward neural networks
Driving posture recognition by convolutional neural networks
期刊论文
IET COMPUTER VISION, 2016, 卷号: 10, 期号: [db:dc_citation_issue], 页码: 103-114
作者:
Yan, Chao
;
Coenen, Frans
;
Zhang, Bailing
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/02
road conditions
driver information systems
unsupervised learning
effectiveness performance
sparse filtering
feature extraction
cell phone call
feedforward neural nets
image classification
traffic accidents
road traffic
video clips
road accidents
pose estimation
normal driving
intelligent driver assistance system development
poor illuminations
eating
driver fatigue
unsupervised feature learning method
smoking
image descriptors
embedded functionality
convolutional neural networks
driver hand position monitoring
automatic discriminative feature learning
object recognition
driving posture recognition
driver inattention
video signal processing
Southeast University driving posture dataset
image filtering
generalisation performance
driver vigilance monitoring
Prediction of air pollutant concentration based on sparse response back-propagation training feedforward neural networks
期刊论文
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2016, 卷号: 23, 期号: [db:dc_citation_issue], 页码: 19481-19494
作者:
Ding, Weifu
;
Zhang, Jiangshe
;
Leung, Yee
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/02
Back-propagation
Sparse response
Generalization
Multiple linear regression
Air pollution prediction
Artificial neural network
A new deep neural network based on a stack of single-hidden-layer feedforward neural networks with randomly fixed hidden neurons
期刊论文
NEUROCOMPUTING, 2016, 卷号: 171, 期号: [db:dc_citation_issue], 页码: 63-72
作者:
Hu, Junying
;
Zhang, Jiangshe
;
Zhang, Chunxia
;
Wang, Juan
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/02
Single-hidden layer feedforward neural network
Stackable structure
Embedding
Unsupervised learning
Manifold regularization
A new small-world neural network with its performance on fault tolerance
会议论文
作者:
Xiaohu, Li
;
Feng, Xu
;
Jinhua, Zhang
;
Sunan, Wang
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/03
Biological neural networks
Community structures
Complex networks
Fault probabilities
Fault tolerance performance
Fault-tolerance capability
Multilayer feedforward
Random network
Regular networks
Rewiring probability
Small worlds
Dynamic Extreme Learning Machine and Its Approximation Capability
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2013, 卷号: 43, 期号: [db:dc_citation_issue], 页码: 2054-2065
作者:
Zhang, Rui
;
Lan, Yuan
;
Huang, Guang-Bin
;
Xu, Zong-Ben
;
Soh, Yeng Chai
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/10
universal approximation
feedforward neural networks
Dynamic learning
extreme learning machine (ELM)
Fault-Tolerant Autolanding Controller Design using Neural Network
会议论文
作者:
Bai, Jian-Ming
;
Rong, Hai-Jun
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/10
Fault Tolerant Controller
Single Hidden Layer Feedforward Networks
Extreme Learning Machine
Approximation of algebraic and trigonometric polynomials by feedforward neural networks
期刊论文
NEURAL COMPUTING & APPLICATIONS, 2012, 卷号: 21, 期号: [db:dc_citation_issue], 页码: 73-80
作者:
Wang, Jian-Jun
;
Chen, Bai-Li
;
Yang, Chan-Yun
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/10
Feedforward neural networks
Function approximation
Trigonometric polynomial
Algebraic polynomial
Universal Approximation of Extreme Learning Machine with Adaptive Growth of Hidden Nodes
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2012, 卷号: 23, 期号: [db:dc_citation_issue], 页码: 365-371
作者:
Zhang, Rui
;
Lan, Yuan
;
Huang, Guang-Bin
;
Xu, Zong-Ben
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/10
incremental learning
universal approximation
feedforward neural networks
growing algorithm
Extreme learning machine (ELM)
Modified quasi-Newton algorithm for training large-scale feedforward neural networks and its application
期刊论文
Journal of Computational Information Systems, 2011, 卷号: 7, 期号: [db:dc_citation_issue], 页码: 3047-3053
作者:
Cheng, Wenjun
;
Li, Huanqin
;
Ruan, Xiaoe
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2019/12/10
Industrial product
Memory usage
Quality model
Quasi-newton algorithm
Quasi-Newton methods
Simulation result
Training algorithms
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