中文版 | English

在结果中检索

CASIA OpenIR
（本次检索基于用户作品认领结果）

浏览/检索结果: 共22条，第1-10条 帮助

限定条件            
已选(0)清除 条数/页：   排序方式：
Improving Road Detection Results Based on Ensemble Learning and Key Samples Focusing 会议论文
Proceedings of the IEEE International Conference on Intelligent Transportation Systems (ITSC), Rhodes, Greece; Online, 2020-9-20
作者:  Fan, Siqi;  Zhu, Fenghua;  Zhang, Hui;  Lv, Yisheng;  Wang, Xiao;  Xiong, Gang;  Wang, Feiyue
Adobe PDF(2270Kb)  |  收藏  |  浏览/下载：261/58  |  提交时间：2022/06/16
Pedestrian Choice Modeling and Simulation of Staged Evacuation Strategies in Daya Bay Nuclear Power Plant 期刊论文
EEE Transactions on Computational Social Systems, 2020, 卷号: 7, 期号: 3, 页码: 686-695
作者:  Yang, Linyao;  Wang, Xiao;  Zhang, Jun Jason;  Zhou, Min;  Wang, Fei-Yue
Adobe PDF(2409Kb)  |  收藏  |  浏览/下载：166/51  |  提交时间：2022/06/15
Agent-based modeling  exit choice  pedestrian crowd evacuation  random forest (RF)  staged evacuation  
Continuous-Time Linear Parallel Control 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 4, 页码: 919-928
作者:  Qinglai Wei;  Hongyang Li;  Fei-Yue Wang
浏览  |  Adobe PDF(8119Kb)  |  收藏  |  浏览/下载：169/35  |  提交时间：2021/03/11
Continuous-time linear systems  digital twin  parallel controller  parallel intelligence  parallel systems  
Parallel Reinforcement Learning-Based Energy Efficiency Improvement for a Cyber-Physical System 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 2, 页码: 617-626
作者:  Teng Liu;  Bin Tian;  Yunfeng Ai;  Fei-Yue Wang
浏览  |  Adobe PDF(5813Kb)  |  收藏  |  浏览/下载：223/63  |  提交时间：2021/03/11
Bidirectional long short-term memory (LSTM) network  cyber-physical system (CPS)  energy management  parallel system  reinforcement learning (RL)  
Guidance Control for Parallel Parking Tasks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 1, 页码: 301-306
作者:  Jiyuan Tan;  Chunling Xu;  Li Li;  Fei-Yue Wang;  Dongpu Cao;  Lingxi Li
浏览  |  Adobe PDF(1592Kb)  |  收藏  |  浏览/下载：182/62  |  提交时间：2021/03/11
Automatic parking  guidance control  trajectory planning  
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：324/71  |  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)  
绘画艺术图像的计算美学:研究前沿与展望 期刊论文
自动化学报, 2020, 卷号: 46, 期号: 11, 页码: 2239-2259
作者:  鲁越;  郭超;  林懿伦;  卓凡;  王飞跃
Adobe PDF(1431Kb)  |  收藏  |  浏览/下载：299/51  |  提交时间：2021/02/18
Fine art paintings  computational aesthetics  aesthetic model  attribute recognition  content understanding  aesthetic judgments  绘画艺术  计算美学  审美模型  属性识别  内容理解  美学评价  
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：248/0  |  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  
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：347/61  |  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)  
Acting As A Decision Maker: Traffic-Condition-Aware Ensemble Learning for Traffic Flow Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 期号: Accepted, 页码: Accepted
作者:  Yuanyuan Chen;  Hongyu Chen;  Peijun Ye;  Yisheng Lv;  Fei-Yue Wang
浏览  |  Adobe PDF(2382Kb)  |  收藏  |  浏览/下载：290/61  |  提交时间：2020/10/16
Traffic Flow Prediction  Ensemble Learning  Deep Learning