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CASIA OpenIR
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Deep patch learning algorithms with high interpretability for regression problems 期刊论文
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2022, 页码: 38
作者:  Huang, Yunhu;  Chen, Dewang;  Zhao, Wendi;  Lv, Yisheng;  Wang, Shiping
收藏  |  浏览/下载：173/0  |  提交时间：2022/07/25
deep learning  deep patch learning fuzzy system  fuzzy C-means clustering  interpretability  maximum information coefficient (MIC)  Pearson's correlation coefficients (PCC)  
Fuzzy C-Means Clustering Based Deep Patch Learning With Improved Interpretability for Classification Problems 期刊论文
IEEE ACCESS, 2022, 卷号: 10, 页码: 49873-49891
作者:  Huang, Yunhu;  Chen, Dewang;  Zhao, Wendi;  Lv, Yisheng
收藏  |  浏览/下载：163/0  |  提交时间：2022/07/25
Computational modeling  Training  Microwave integrated circuits  Deep learning  Data models  Artificial neural networks  Training data  Fuzzy c-means (FCM) clustering  maximal information coefficient (MIC)  random input (RI)  deep patch learning classifier  interpretability  
Deep Neural Fuzzy System Oriented toward High-Dimensional Data and Interpretable Artificial Intelligence 期刊论文
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 16, 页码: 19
作者:  Chen, Dewang;  Cai, Jijie;  Huang, Yunhu;  Lv, Yisheng
收藏  |  浏览/下载：118/0  |  提交时间：2021/11/03
interpretability  high-dimensional data  adaptive neuro-fuzzy inference system  deep neural fuzzy system  
Trip Purposes Mining From Mobile Signaling Data 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 99, 期号: 99, 页码: 13
作者:  Li, Zhishuai;  Xiong, Gang;  Wei, Zebing;  Zhang, Yu;  Zheng, Meng;  Liu, Xiaoli;  Tarkoma, Sasu;  Huang, Min;  Lv, Yisheng;  Wu, Chuheng
Adobe PDF(3962Kb)  |  收藏  |  浏览/下载：343/69  |  提交时间：2022/01/27
Cellular networks  Trajectory  Semantics  Unsupervised learning  Supervised learning  Resource management  Public transportation  Trip purpose inference  cellular network data  latent Dirichlet allocation  travel behavior  big data  
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：206/0  |  提交时间：2021/03/08
PV power generation prediction  Deep fuzzy model  Double input rule module  Data driven method  Least square method  
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：260/55  |  提交时间：2020/10/16
Traffic Flow Prediction  Ensemble Learning  Deep Learning  
Detecting Traffic Information From Social Media Texts With Deep Learning Approaches 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2019, 卷号: 20, 期号: 8, 页码: 3049-3058
作者:  Chen, Yuanyuan;  Lv, Yisheng;  Wang, Xiao;  Li, Lingxi;  Wang, Fei-Yue
浏览  |  Adobe PDF(2273Kb)  |  收藏  |  浏览/下载：406/102  |  提交时间：2019/08/28
Deep learning  social transportation  traffic information detection  social media  text mining  
Long short-term memory model for traffic congestion prediction with online open data 会议论文
, Rio de Janeiro, Brazil, 1-4 Nov. 2016
作者:  Chen, Yuanyuan;  Lv, Yisheng;  Li, Zhenjiang;  Wang, Fei-Yue
浏览  |  Adobe PDF(575Kb)  |  收藏  |  浏览/下载：385/181  |  提交时间：2018/01/08
Long short-term memory model for traffic congestion prediction with online open data 会议论文
, Rio de Janeiro, Brazil, 1-4 Nov.2016
作者:  Yuan-yuan Chen;  Yisheng Lv;  Zhenjiang Li;  Fei-Yue Wang
浏览  |  Adobe PDF(575Kb)  |  收藏  |  浏览/下载：319/112  |  提交时间：2018/01/08