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山东大学 [3]
华南理工大学 [3]
湖南大学 [3]
清华大学 [2]
北京大学 [2]
兰州大学 [2]
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期刊论文 [16]
会议论文 [9]
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A Clustering-Based Nonlinear Ensemble Approach for Exchange Rates Forecasting
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2020, 卷号: 50, 期号: 6, 页码: 2284-2292
作者:
Sun, Shaolong
;
Wang, Shouyang
;
Wei, Yunjie
;
Zhang, Guowei
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2020/06/30
Forecasting
Exchange rates
Predictive models
Self-organizing feature maps
Clustering algorithms
exchange rates forecasting
kernel-based extreme learning machine (KELM)
nonlinear ensemble
The DIAMOND Model: Deep Recurrent Neural Networks for Self-Organizing Robot Control
期刊论文
Frontiers in Neurorobotics, 2020, 卷号: 14, 页码: 1-7
作者:
Smith, Simón C.
;
Dharmadi, Richard
;
Imrie, Calum
;
Si BL(斯白露)
;
Herrmann, J. Michael
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2020/10/18
deep neural networks
autonomous learning
homeokinesis
self-organizing control
robot control
A self-organizing developmental cognitive architecture with interactive reinforcement learning
期刊论文
Neurocomputing, 2019
作者:
Huang K.
;
Ma X.
;
Song R.
;
Rong X.
;
Tian X.
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/11
Cognitive development
Interactive reinforcement learning
Object recognition
Online learning
Self-organizing neural network
An Autonomous Developmental Cognitive Architecture Based on Incremental Associative Neural Network With Dynamic Audiovisual Fusion
期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 8789-8807
作者:
Huang, Ke
;
Ma, Xin
;
Song, Rui
;
Rong, Xuewen
;
Tian, Xincheng
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/11
Cognitive development
concept online learning
self-organizing
incremental neural network
object recognition
audio-visual integration
ARAE-SOM plus BCO: An enhanced artificial raindrop algorithm using self-organizing map and binomial crossover operator
期刊论文
2018, 卷号: 275, 页码: 2716-2739
作者:
Jiang, Qiaoyong
;
Wang, Lei
;
Hei, Xinhong
;
Cheng, Jiatang
;
Lu, Xiaofeng
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/20
Artificial raindrop algorithm
Self-organizing map
Binomial crossover operator
Covariance matrix learning
A Self-Organizing Incremental Neural Network based on local distribution learning
期刊论文
Neural Networks, 2016, 卷号: Vol.84, 页码: 143-160
作者:
Shen, F.
;
Shi, X.
;
Zhao, J.
;
Zhou, K.
;
Xing, Y.
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  |  
浏览/下载:1/0
  |  
提交时间:2019/04/24
Incremental
learning
Matrix
learning
Relaxation
data
representation
Self-Organizing
Incremental
Neural
Network
Unsupervised and Semi-supervised Dimensionality Reduction with Self-Organizing Incremental Neural Network and Graph Similarity Constraints
期刊论文
ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PAKDD 2016, PT I, 2016, 卷号: Vol.9651, 页码: 191-202
作者:
Xiang, Zhiyang
;
Xiao, Zhu
;
Huang, Yourong
;
Wang, Dong
;
Fu, Bin
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/31
Dimensionality reduction
Self-Organizing Incremental Neural Network
Graph cut
Semi-supervised learning
Unsupervised and semi-supervised dimensionality reduction with self-organizing incremental neural network and graph similarity constraints
期刊论文
Advances in Knowledge Discovery and Data Mining. 20th Pacific-Asia Conference, PAKDD 2016. Proceedings: LNCS 9651, 2016, 页码: 191-202
作者:
Xiang, ZY
;
Xiao, Z
;
Huang, YR
;
Wang, D
;
Fu, B
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/31
Dimensionality reduction
Self-Organizing Incremental Neural Network
Graph cut
Semi-supervised learning
Unsupervised and Semi-supervised Dimensionality Reduction with Self-Organizing Incremental Neural Network and Graph Similarity Constraints
期刊论文
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2016, 卷号: 9651, 页码: 191-202
作者:
Xiang, Zhiyang
;
Xiao, Zhu
;
Huang, Yourong
;
Wang, Dong*
;
Fu, Bin
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/28
Dimensionality reduction
Self-Organizing Incremental Neural Network
Graph cut
Semi-supervised learning
Convergence Analysis of a New Self Organizing Map Based Optimization (SOMO) Algorithm (EI收录)
期刊论文
Cognitive Computation, 2015, 卷号: 7, 页码: 477-486
作者:
Khan, Atlas[1,2]
;
Xue, Li Zheng[1]
;
Wei, Wu[1]
;
Qu, YanPeng[3]
;
Hussain, Amir[4]
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/04/25
Benchmarking
Conformal mapping
Iterative methods
Learning systems
Optimization
Particle swarm optimization (PSO)
Population statistics
Self organizing maps
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