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深度强化学习进展: 从 AlphaGo 到 AlphaGo Zero 期刊论文
控 制 理 论 与 应 用, 2017, 卷号: 34, 期号: 12, 页码: 1529-1546
作者:  唐振韬;  邵 坤;  赵冬斌;  朱圆恒
Adobe PDF(8232Kb)  |  收藏  |  浏览/下载：230/36  |  提交时间：2021/07/05
深度强化学习  AlphaGo Zero  深度学习  强化学习  人工智能  
A Brain-inspired SLAM System Based on ORB Features 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 5, 页码: 564-575
作者:  Sun-Chun Zhou;  Rui Yan;  Jia-Xin Li;  Ying-Ke Chen;  Huajin Tang
浏览  |  Adobe PDF(2451Kb)  |  收藏  |  浏览/下载：185/43  |  提交时间：2021/02/23
Simultaneous localization and mapping (SLAM)  RatSLAM  mobile robot  oriented features from accelerated segment test and rotated binary robust independent elementary (ORB) features of RGB (red, green, blue)  cognitive map.  
Why Deep Neural Nets Cannot Ever Match Biological Intelligence and What To Do About It? 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 5, 页码: 532-541
作者:  Danko Nikolic
浏览  |  Adobe PDF(349Kb)  |  收藏  |  浏览/下载：113/17  |  提交时间：2021/02/23
Artificial intelligence  neural networks  strong artificial intelligence  practopoiesis, machine learning.  
Imitating the Brain with Neurocomputer A “New” Way Towards Artificial General Intelligence 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 5, 页码: 520-531
作者:  Tie-Jun Huang
浏览  |  Adobe PDF(262Kb)  |  收藏  |  浏览/下载：167/54  |  提交时间：2021/02/23
Artificial general intelligence (AGI)  neuromorphic computing  neurocomputer  brain-like intelligence  imitationalism.  
Why and When Can Deep-but Not Shallow-networks Avoid the Curse of Dimensionality: A Review 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 5, 页码: 503-519
作者:  Tomaso Poggio;  Hrushikesh Mhaskar;  Lorenzo Rosasco;  Brando Miranda;  Qianli Liao
浏览  |  Adobe PDF(1711Kb)  |  收藏  |  浏览/下载：190/29  |  提交时间：2021/02/23
Deep learning  fine-grained image classification  semantic segmentation  convolutional neural network (CNN)  recurrent neural network (RNN).  
Inferring Functional Connectivity in fMRI Using Minimum Partial Correlation 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 4, 页码: 371-385
作者:  Lei Nie;  Xian Yang1 Pau(l);  M. Matthews;  Zhi-Wei Xu;  Yi-Ke Guo
浏览  |  Adobe PDF(2876Kb)  |  收藏  |  浏览/下载：362/217  |  提交时间：2021/02/23
Functional connectivity  functional magnetic resonance imaging (fMRI)  network modelling  partial correlation  PCalgorithm  resting-state networks.  
Event-based Control and Filtering of Networked Systems: A Survey 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 3, 页码: 239-253
作者:  Lei Zou;  Zi-Dong Wang;  Dong-Hua Zhou
浏览  |  Adobe PDF(3631Kb)  |  收藏  |  浏览/下载：170/37  |  提交时间：2021/02/23
Event-triggered transmission  networked systems  event-based control  event-based filtering  event-triggered distributed state estimation  distributed control with event-based protocol.  
Robust Stabilization of Load Frequency Control System Under Networked Environment 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 93-105
作者:  Ashraf Khalil;  Ji-Hong Wang;  Omar Mohamed
浏览  |  Adobe PDF(22897Kb)  |  收藏  |  浏览/下载：104/32  |  提交时间：2021/02/23
Load frequency control  load frequency control (LFC)  Markov chains  networked control system  robust stabilization.  
Actuator Fault Monitoring and Fault Tolerant Control in Distillation Columns 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 80-92
作者:  Sulaiman Ayobami Lawal;  Jie Zhang
浏览  |  Adobe PDF(13749Kb)  |  收藏  |  浏览/下载：208/46  |  提交时间：2021/02/23
Dynamic principal component analysis  fault detection and diagnosis  distillation column  fault tolerant controller  inferential control.  
An Effective Density Based Approach to Detect Complex Data Clusters Using Notion of Neighborhood Difference 期刊论文
International Journal of Automation and Computing, 2017, 卷号: 14, 期号: 1, 页码: 57-67
作者:  S. Nagaraju;  Manish Kashyap;  Mahua Bhattachraya
浏览  |  Adobe PDF(30557Kb)  |  收藏  |  浏览/下载：127/33  |  提交时间：2021/02/23
Density based clustering  neighborhood difference  density-based spatial clustering of applications with noise (DBSCAN)  space density indexing (SDI)  core object.