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Data driven parallel prediction of building energy consumption using generative adversarial nets 期刊论文
ENERGY AND BUILDINGS, 2019, 卷号: 186, 页码: 230-243
Authors:  Tian, Chenlu;  Li, Chengdong;  Zhang, Guiqing;  Lv, Yisheng
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building energy consumption  deep learning  parallel prediction  Generative Adversarial Nets  
Analysis and Design of Functionally Weighted Single-Input-Rule-Modules Connected Fuzzy Inference Systems 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018, 卷号: 26, 期号: 1, 页码: 56-71
Authors:  Li, Chengdong;  Gao, Junlong;  Yi, Jianqiang;  Zhang, Guiqing
Favorite  |  View/Download:52/0  |  Submit date:2018/10/10
Data-driven Method  Fuzzy Inference System (Fis)  Least-squares Method  Parameter Learning  Single-input Rule Module (Sirm)  
Deep Belief Network Based Hybrid Model for Building Energy Consumption Prediction 期刊论文
ENERGIES, 2018, 卷号: 11, 期号: 1
Authors:  Li, Chengdong;  Ding, Zixiang;  Yi, Jianqiang;  Lv, Yisheng;  Zhang, Guiqing
Favorite  |  View/Download:93/0  |  Submit date:2018/10/10
Building Energy Consumption Prediction  Deep Belief Network  Contrastive Divergence Algorithm  Least Squares Learning  Energy-consuming Pattern  
Data-driven design of the extended fuzzy neural network having linguistic outputs 期刊论文
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2018, 卷号: 34, 期号: 1, 页码: 349-360
Authors:  Li, Chengdong;  Ding, Zixiang;  Qian, Dianwei;  Lv, Yisheng
Favorite  |  View/Download:59/0  |  Submit date:2018/10/10
Data-driven Method  Fuzzy Neural Network  Multi-objective Optimization  Structure Reduction  
Data driven hybrid fuzzy model for short-term traffic flow prediction 期刊论文
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2018, 卷号: 35, 期号: 6, 页码: 6525-6536
Authors:  Li, Chengdong;  Yan, Bingyang;  Tang, Minjia;  Yi, Jianqiang;  Zhang, Xiqiao
Favorite  |  View/Download:51/0  |  Submit date:2019/07/12
Traffic flow prediction  fuzzy method  single input rule module  least square learning  traffic-flow pattern  
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
Authors:  Li, Chengdong;  Ding, Zixiang;  Zhao, Dongbin;  Yi, Jianqiang;  Zhang, Guiqing
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Building Energy Consumption  Deep Learning  Stacked Autoencoders  Extreme Learning Machine  
Indirect Adaptive Interval Type-2 Fuzzy Sliding Mode Controller Design for Flexible Air-breathing Hypersonic Vehicles 会议论文
, Toulouse, France, July 9-14
Authors:  Gao, Junlong;  Yuan, Ruyi;  Yi, Jianqiang;  Li, Chengdong
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Adaptive Control  Type-2 Fuzzy Logic System  Air-breathing Hypersonic Vehicle  Uncertainty  
Interval Type-2 TSK Nominal-fuzzy-model-based Sliding Mode Controller Design for Flexible Airbreathing Hypersonic Vehicles 会议论文
, Naples, Italy, July 9-12
Authors:  Gao, Junlong;  Yi, Jianqiang;  Pu, Zhiqiang;  Li, Chengdong
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Type-2 Fuzzy Logic System  Hypersonic Vehicle  Nominal Model  Model-based Control  Sliding Mode  Data-driven  
A fast learning method for data-driven design of interval type-2 fuzzy logic system 期刊论文
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2017, 卷号: 32, 期号: 3, 页码: 2705-2715
Authors:  Li, Chengdong;  Zhang, Guiqing;  Yi, Jianqiang;  Shang, Fang;  Gao, Junlong
Favorite  |  View/Download:95/0  |  Submit date:2017/05/05
Data-driven Method  Fast Learning  Fuzzy Logic System  Anfis  Type-2 Fuzzy  
A Novel Approach to Generating an Interval Type-2 Fuzzy Neural Network Based on a Well-Behaving Type-1 Fuzzy TSK System 会议论文
, Budapest, Hungary, Oct. 9-12
Authors:  Gao, Junlong;  Yuan, Ruyi;  Yi, Jianqiang;  Ying, Hao;  Li, Chengdong
View  |  Adobe PDF(758Kb)  |  Favorite  |  View/Download:167/48  |  Submit date:2017/05/09
Fuzzy Logic System  Type Transition  Fuzzy Set Mergence  Interval Type-2 Fuzzy Neural Network  Adaptive Steepest Decent Algorithm