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Parallel Control for Optimal Tracking via Adaptive Dynamic Programming 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 6, 页码: 1662-1674
作者:  Lu, Jingwei;  Wei, Qinglai;  Wang, Fei-Yue
浏览  |  Adobe PDF(7214Kb)  |  收藏  |  浏览/下载：290/53  |  提交时间：2021/01/06
Adaptive dynamic programming (ADP)  nonlinear optimal control  parallel controller  parallel control theory  parallel system  tracking control  neural network (NN)  
Accelerating Minibatch Stochastic Gradient Descent Using Typicality Sampling 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 11, 页码: 4649-4659
作者:  Peng, Xinyu;  Li, Li;  Wang, Fei-Yue
收藏  |  浏览/下载：203/0  |  提交时间：2021/01/06
Training  Convergence  Approximation algorithms  Stochastic processes  Estimation  Optimization  Acceleration  Batch selection  machine learning  minibatch stochastic gradient descent (SGD)  speed of convergence  
What are the differences in yield formation among two cucumber (Cucumis sativus L.) cultivars and their F-1 hybrid? 期刊论文
JOURNAL OF INTEGRATIVE AGRICULTURE, 2020, 卷号: 19, 期号: 7, 页码: 1789-1801
作者:  Wang Xiu-juan;  Kang Meng-zhen;  Fan Xing-rong;  Yang Li-le;  Zhang Bao-gui;  Huang San-wen;  De Reffye, Philippe;  Wang Fei-yue
浏览  |  Adobe PDF(4508Kb)  |  收藏  |  浏览/下载：294/58  |  提交时间：2020/07/20
cucumber  biomass production  functional-structural plant model  source-sink ratio  fruit-setting  PSO  heterosis  
Simulation and field testing of multiple vehicles collision avoidance algorithms 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 4, 页码: 1045-1063
作者:  Zu, Chaoyue;  Yang, Chao;  Wang, Jian;  Gao, Wenbin;  Cao, Dongpu;  Wang, Fei-Yue
收藏  |  浏览/下载：194/0  |  提交时间：2020/08/03
Collision avoidance  intelligent vehicles  inter-vehicle communication  simulation  testing  trajectory planning  
What are the differences in yield formation among two cucumber (Cucumis sativus L.) cultivars and their F-1 hybrid? 期刊论文
JOURNAL OF INTEGRATIVE AGRICULTURE, 2020, 卷号: 19, 期号: 7, 页码: 1789-1801
作者:  Wang Xiu-juan;  Kang Meng-zhen;  Fan Xing-rong;  Yang Li-le;  Zhang Bao-gui;  Huang San-wen;  De Reffye, Philippe;  Wang Fei-yue
收藏  |  浏览/下载：245/0  |  提交时间：2020/07/20
cucumber  biomass production  functional-structural plant model  source-sink ratio  fruit-setting  PSO  heterosis  
Parallel control for continuous-time linear systems: A case study 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 4, 页码: 919-928
作者:  Wei, Qinglai;  Li, Hongyang;  Wang, Fei-Yue
Adobe PDF(4146Kb)  |  收藏  |  浏览/下载：227/24  |  提交时间：2020/08/03
Continuous-time linear systems  digital twin  parallel controller  parallel intelligence  parallel systems  
A parallel vision approach to scene-specific pedestrian detection 期刊论文
NEUROCOMPUTING, 2020, 卷号: 394, 页码: 114-126
作者:  Zhang, Wenwen;  Wang, Kunfeng;  Liu, Yating;  Lu, Yue;  Wang, Fei-Yue
Adobe PDF(4090Kb)  |  收藏  |  浏览/下载：306/46  |  提交时间：2020/06/22
Pedestrian detection  Specific scene  Synthetic data  Video surveillance  Parallel vision  
A novel background subtraction algorithm based on parallel vision and Bayesian GANs 期刊论文
NEUROCOMPUTING, 2020, 卷号: 394, 页码: 178-200
作者:  Zheng, Wenbo;  Wang, Kunfeng;  Wang, Fei-Yue
收藏  |  浏览/下载：216/0  |  提交时间：2020/06/22
Background subtraction  Background model  Bayesian generative adversarial network  Convolutional neural networks  Parallel vision  
Analyzing Bitcoin transaction fees using a queueing game model 期刊论文
ELECTRONIC COMMERCE RESEARCH, 2020, 期号: 3, 页码: 21
作者:  Li, Juanjuan;  Yuan, Yong;  Wang, Fei-Yue
浏览  |  Adobe PDF(1741Kb)  |  收藏  |  浏览/下载：316/84  |  提交时间：2020/08/31
Bitcoin  Blockchain  Transaction fees  Transaction confirmation queueing game  
Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 卷号: 21, 期号: 4, 页码: 1624-1630
作者:  Chen, Yuanyuan;  Lv, Yisheng;  Wang, Fei-Yue
Adobe PDF(2070Kb)  |  收藏  |  浏览/下载：323/62  |  提交时间：2020/06/02
Generators  Data models  Gallium nitride  Generative adversarial networks  Training  Loss measurement  Biological system modeling  Parallel data  generative adversarial networks  traffic flow imputation  data augmentation  deep learning