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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
作者:  Li, Chengdong;  Gao, Junlong;  Yi, Jianqiang;  Zhang, Guiqing
收藏  |  浏览/下载：163/0  |  提交时间：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
作者:  Li, Chengdong;  Ding, Zixiang;  Yi, Jianqiang;  Lv, Yisheng;  Zhang, Guiqing
收藏  |  浏览/下载：211/0  |  提交时间：2018/10/10
Building Energy Consumption Prediction  Deep Belief Network  Contrastive Divergence Algorithm  Least Squares Learning  Energy-consuming 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
作者:  Li, Chengdong;  Ding, Zixiang;  Zhao, Dongbin;  Yi, Jianqiang;  Zhang, Guiqing
浏览  |  Adobe PDF(1918Kb)  |  收藏  |  浏览/下载：297/46  |  提交时间：2017/12/30
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
作者:  Li, Chengdong;  Zhang, Guiqing;  Yi, Jianqiang;  Shang, Fang;  Gao, Junlong
收藏  |  浏览/下载：214/0  |  提交时间：2017/05/05
Data-driven Method  Fast Learning  Fuzzy Logic System  Anfis  Type-2 Fuzzy