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Adversarial Training for Relation Classification with Attention based Gate Mechanism 会议论文
, Tianjin, China, 14-17, August, 2018
作者:  Pengfei Cao;  Yubo Chen;  Kang Liu;  Jun Zhao
Adobe PDF(985Kb)  |  收藏  |  浏览/下载：95/43  |  提交时间：2023/06/27
Brain-Inspired Motion Learning in Recurrent Neural Network With Emotion Modulation 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2018, 卷号: 10, 期号: 4, 页码: 1153 - 1164
作者:  Huang, Xiao;  Wu, Wei;  Qiao, Hong;  Ji, Yidao
浏览  |  Adobe PDF(2073Kb)  |  收藏  |  浏览/下载：222/69  |  提交时间：2020/06/09
Brain-inspired model  emotion  motion learning  recurrent neural network  
人工智能研究的新前线：生成式对抗网络 期刊论文
自动化学报, 2018, 卷号: 44, 期号: 5, 页码: 775-792
作者:  林懿伦;  戴星原;  李力;  王晓;  王飞跃
浏览  |  Adobe PDF(6766Kb)  |  收藏  |  浏览/下载：678/219  |  提交时间：2018/10/10
深度学习  生成式对抗网络  生成模型  对抗学习  平行学习  
A Novel Biologically Inspired Visual Cognition Model: Automatic Extraction of Semantics, Formation of Integrated Concepts, and Reselection Features for Ambiguity 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2018, 卷号: 10, 期号: 2, 页码: 420-431
作者:  Yin, Peijie;  Qiao, Hong;  Wu, Wei;  Qi, Lu;  Li, Yinlin;  Zhong, Shanlin;  Zhang, Bo
浏览  |  Adobe PDF(3887Kb)  |  收藏  |  浏览/下载：341/79  |  提交时间：2018/10/09
Biologically inspired model  object recognition  semantic learning  structural learning  
Event-Based Robust Control for Uncertain Nonlinear Systems Using Adaptive Dynamic Programming 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 1, 页码: 37-50
作者:  Zhang, Qichao;  Zhao, Dongbin;  Wang, Ding
浏览  |  Adobe PDF(2233Kb)  |  收藏  |  浏览/下载：550/249  |  提交时间：2017/05/04
Adaptive Dynamic Programming (Adp)  Event-based Control  Neural Network (Nn)  Robust Control  Unmatched Uncertainties  
A pdf-Free Change Detection Test Based on Density Difference Estimation 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 2, 页码: 324-334
作者:  Bu, Li;  Alippi, Cesare;  Zhao, Dongbin
Adobe PDF(2468Kb)  |  收藏  |  浏览/下载：387/112  |  提交时间：2017/05/04
Concept Drift  Least Squares Density-difference (Lsdd)-based Method  Probability Density Function (Pdf)-free  Three-level Threshold Mechanism