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Associated Activation-Driven Enrichment: Understanding Implicit Information from a Cognitive Perspective 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2017, 卷号: 29, 期号: 12, 页码: 2655-2668
作者:  Bai, Jie;  Li, Linjing;  Zeng, Daniel;  Li, Qiudan
浏览  |  Adobe PDF(3183Kb)  |  收藏  |  浏览/下载：383/77  |  提交时间：2018/01/04
Text Analysis  Knowledge Representation  Cognitive Simulation  Association Rules  
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：445/183  |  提交时间：2017/02/23
Office Buildings  Electricity Consumption Optimization  Battery Management  Optimal Control  Adaptive Dynamic Programming  Neural Networks  
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
Adobe PDF(1918Kb)  |  收藏  |  浏览/下载：293/46  |  提交时间：2017/12/30
Building Energy Consumption  Deep Learning  Stacked Autoencoders  Extreme Learning Machine  
Improving the Critic Learning for Event-Based Nonlinear H-infinity Control Design 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 期号: 10, 页码: 3417-3428
作者:  Wang, Ding;  He, Haibo;  Liu, Derong
浏览  |  Adobe PDF(1068Kb)  |  收藏  |  浏览/下载：403/108  |  提交时间：2018/03/03
H-infinity Control  Adaptive Systems  Adaptive/approximate Dynamic Programming  Critic Network  Event-based Design  Learning Criterion  Neural Control  
High-Resolution Remote Sensing Data Classification over Urban Areas Using Random Forest Ensemble and Fully Connected Conditional Random Field 期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2017, 卷号: 6, 期号: 8, 页码: 1-26
作者:  Sun, Xiaofeng;  Lin, Xiangguo;  Shen, Shuhan;  Hu, Zhanyi
浏览  |  Adobe PDF(18038Kb)  |  收藏  |  浏览/下载：285/58  |  提交时间：2018/03/03
Semantic Labeling  Random Forest  Conditional Random Field  Differential Morphological Profile  Ensemble Learning  
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：397/124  |  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