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Event-triggered guaranteed cost control of time-varying delayed fuzzy systems with limited communication 期刊论文
MEASUREMENT & CONTROL, 2020, 卷号: 53, 期号: 9-10, 页码: 2129-2136
作者:  Li, Yinlin;  Jia, Lihao;  Ji, Yidao;  Li, Rui
Adobe PDF(393Kb)  |  收藏  |  浏览/下载：249/5  |  提交时间：2021/03/08
Event-triggered control  fuzzy systems  guaranteed cost controller  time-varying delay  limited communication capacity  
Risk perception and intelligent decision in complex social information network 期刊论文
INDUSTRIAL MANAGEMENT & DATA SYSTEMS, 2020, 页码: 12
作者:  Wu, Desheng;  Song, Jingxiu;  Bian, Yuan;  Zheng, Xiaolong;  Zhang, Zhu
收藏  |  浏览/下载：316/0  |  提交时间：2021/03/08
Complex information network  Risk perception  Intelligent decision making  Integrated platform  
Accurate prediction of short-term photovoltaic power generation via a novel double-input-rule-modules stacked deep fuzzy method 期刊论文
ENERGY, 2020, 卷号: 212, 页码: 13
作者:  Li, Chengdong;  Zhou, Changgeng;  Peng, Wei;  Lv, Yisheng;  Luo, Xin
收藏  |  浏览/下载：233/0  |  提交时间：2021/03/08
PV power generation prediction  Deep fuzzy model  Double input rule module  Data driven method  Least square method  
Optimal Elevator Group Control via Deep Asynchronous Actor-Critic Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 12, 页码: 5245-5256
作者:  Wei, Qinglai;  Wang, Lingxiao;  Liu, Yu;  Polycarpou, Marios M.
Adobe PDF(4019Kb)  |  收藏  |  浏览/下载：375/85  |  提交时间：2021/03/08
Elevators  Optimal control  Backpropagation  Machine learning  Neural networks  Learning (artificial intelligence)  Actor  –critic  adaptive dynamic programming  deep learning (DL)  elevator group control (EGC)  optimal control  reinforcement learning (RL)  
RNN for Perturbed Manipulability Optimization of Manipulators Based on a Distributed Scheme: A Game-Theoretic Perspective 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 12, 页码: 5116-5126
作者:  Zhang, Jiazheng;  Jin, Long;  Cheng, Long
收藏  |  浏览/下载：285/0  |  提交时间：2021/03/02
Optimization  Neural networks  Task analysis  Nash equilibrium  Manipulator dynamics  Distributed control  game theory  manipulability optimization  neural network  redundancy resolution  
Development of a Whale-Shark-Inspired Gliding Robotic Fish With High Maneuverability 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2020, 卷号: 25, 期号: 6, 页码: 2824-2834
作者:  Dong, Huijie;  Wu, Zhengxing;  Chen, Di;  Tan, Min;  Yu, Junzhi
Adobe PDF(2542Kb)  |  收藏  |  浏览/下载：352/56  |  提交时间：2021/03/02
Buoyancy  Robot kinematics  Shape  Mechatronics  Whales  Robot sensing systems  Biomimetic robot  gliding robotic fish  modeling and control  underwater robotics  
Classification of Severe and Critical Covid-19 Using Deep Learning and Radiomics 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3585-3594
作者:  Li, Cong;  Dong, Di;  Li, Liang;  Gong, Wei;  Li, Xiaohu;  Bai, Yan;  Wang, Meiyun;  Hu, Zhenhua;  Zha, Yunfei;  Tian, Jie
Adobe PDF(2325Kb)  |  收藏  |  浏览/下载：408/64  |  提交时间：2021/03/02
COVID-19  radiomics  deep learning  computed tomography (CT)  
A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3576-3584
作者:  Meng, Lingwei;  Dong, Di;  Li, Liang;  Niu, Meng;  Bai, Yan;  Wang, Meiyun;  Qiu, Xiaoming;  Zha, Yunfei;  Tian, Jie
Adobe PDF(4120Kb)  |  收藏  |  浏览/下载：353/62  |  提交时间：2021/03/02
COVID-19  Computed tomography  Lung  Hospitals  Biomedical imaging  Training  Coronavirus disease 2019 (COVID-19)  prognosis  computed tomography  deep learning  artificial intelligence  
Understanding and Predicting Users' Rating Behavior: A Cognitive Perspective 期刊论文
INFORMS JOURNAL ON COMPUTING, 2020, 卷号: 32, 期号: 4, 页码: 996-1011
作者:  Li, Qiudan;  Zeng, Daniel Dajun;  Xu, David Jingjun;  Liu, Ruoran;  Yao, Riheng
收藏  |  浏览/下载：221/0  |  提交时间：2021/03/02
rating behavior analysis  cognitive theory  review content  aspect rating  rating prediction  
Hierarchical Fused Model With Deep Learning and Type-2 Fuzzy Learning for Breast Cancer Diagnosis 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 卷号: 28, 期号: 12, 页码: 3204-3218
作者:  Shen, Tianyu;  Wang, Jiangong;  Gou, Chao;  Wang, Fei-Yue
Adobe PDF(3530Kb)  |  收藏  |  浏览/下载：337/74  |  提交时间：2021/03/02
Image segmentation  Biomedical imaging  Fuzzy sets  Breast cancer  Breast cancer  deep learning (DL)  fuzzy classifier (FC)  interval type-2 possibilistic fuzzy c-means (IT2PFCM)