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Building Energy Consumption Prediction: An Extreme Deep Learning Approach 期刊论文
ENERGIES, 2017, 卷号: 10, 期号: 10, 页码: 1-20
作者:  Li, Chengdong;  Ding, Zixiang;  Zhao, Dongbin;  Yi, Jianqiang;  Zhang, Guiqing
浏览  |  Adobe PDF(1918Kb)  |  收藏  |  浏览/下载:344/56  |  提交时间:2017/12/30
Building Energy Consumption  Deep Learning  Stacked Autoencoders  Extreme Learning Machine  
A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, 卷号: 39, 期号: 2, 页码: 209-226
作者:  Wu, Zifeng;  Huang, Yongzhen;  Wang, Liang;  Wang, Xiaogang;  Tan, Tieniu
浏览  |  Adobe PDF(2447Kb)  |  收藏  |  浏览/下载:1181/621  |  提交时间:2017/05/05
Deep Learning  Cnn  Human Identification  Gait  Cross-view  
Optimization of electricity consumption in office buildings based on adaptive dynamic programming 期刊论文
SOFT COMPUTING, 2017, 卷号: 21, 期号: 21, 页码: 6369-6379
作者:  Shi, Guang;  Wei, Qinglai;  Liu, Derong
浏览  |  Adobe PDF(1611Kb)  |  收藏  |  浏览/下载:474/194  |  提交时间:2017/02/23
Office Buildings  Electricity Consumption Optimization  Battery Management  Optimal Control  Adaptive Dynamic Programming  Neural Networks  
Echo state network-based Q-learning method for optimal battery control of offices combined with renewable energy 期刊论文
IET CONTROL THEORY AND APPLICATIONS, 2017, 卷号: 11, 期号: 7, 页码: 915-922
作者:  Shi, Guang;  Liu, Derong;  Wei, Qinglai
浏览  |  Adobe PDF(3253Kb)  |  收藏  |  浏览/下载:448/135  |  提交时间:2017/02/23
Recurrent Neural Nets  Neurocontrollers  Learning (Artificial Intelligence)  Office Environment  Optimal Control  Solar Power  Energy Consumption  Time Series  Secondary Cells  Energy Management Systems  Function Approximation  Echo State Network-based Q-learning Method  Optimal Battery Control  Renewable Energy  Optimal Energy Management  Solar Energy  Energy Consumption  Energy Demand  Time Series  Real-time Electricity Rate  Periodic Functions  Q-function  Optimal Charging Strategy  Optimal Discharging Strategy  Optimal Idle Strategy  Numerical Analysis  
A Semi-Supervised Method for Surveillance-Based Visual Location Recognition 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 11, 页码: 3719-3732
作者:  Liu, Pengcheng;  Yang, Peipei;  Wang, Chong;  Huang, Kaiqi;  Tan, Tieniu
Adobe PDF(5404Kb)  |  收藏  |  浏览/下载:589/177  |  提交时间:2016/10/31
Cross-device (C-d) Recognition  Semi-supervised Learning  Visual Localization