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非侵入式负荷监测综述 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 3, 页码: 644-663
Authors:  邓晓平;  张桂青;  魏庆来;  彭伟;  李成栋
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非侵入式负荷监测  负荷分解  特征提取  隐马尔科夫模型  深度学习  
Interval type-2 fuzzy logic based transmission power allocation strategy for lifetime maximization of WSNs 期刊论文
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2020, 卷号: 87, 页码: 11
Authors:  Peng, Wei;  Li, Chengdong;  Zhang, Guiqing;  Yi, Jianqiang
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Transmission power allocation  Type-2 fuzzy  Wireless sensor network  Network lifetime  
Interval data driven construction of shadowed sets with application to linguistic word modelling 期刊论文
INFORMATION SCIENCES, 2020, 卷号: 507, 页码: 503-521
Authors:  Li, Chengdong;  Yi, Jianqiang;  Wang, Hongkai;  Zhang, Guiqing;  Li, Junqing
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Shadowed set  Interval data  Data driven  Tolerance limit  Percentile statistic  
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  
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
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Building Energy Consumption Prediction  Deep Belief Network  Contrastive Divergence Algorithm  Least Squares Learning  Energy-consuming Pattern  
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
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Data-driven Method  Fuzzy Inference System (Fis)  Least-squares Method  Parameter Learning  Single-input Rule Module (Sirm)  
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  
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
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Data-driven Method  Fast Learning  Fuzzy Logic System  Anfis  Type-2 Fuzzy  
On the Monotonicity of Interval Type-2 Fuzzy Logic Systems 期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2014, 卷号: 22, 期号: 5, 页码: 1197-1212
Authors:  Li, Chengdong;  Yi, Jianqiang;  Zhang, Guiqing
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Data-driven Method  Fuzzy Logic System  Modeling And Control  Monotonicity  Type-2 Fuzzy  Type-reduction And Defuzzification Method  
On the properties of SIRMs connected type-1 and type-2 fuzzy inference systems 会议论文
IEEE International Conference on Fuzzy Systems (FUZZ), Taipei, Taiwan, 2011
Authors:  Li, Chengdong;  Zhang, Guiqing;  Yi, Jianqiang;  Wang, Tiechao
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