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Deep patch learning algorithms with high interpretability for regression problems 期刊论文
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2022, 页码: 38
Authors:  Huang, Yunhu;  Chen, Dewang;  Zhao, Wendi;  Lv, Yisheng;  Wang, Shiping
Favorite  |  View/Download：100/0  |  Submit date：2022/07/25
deep learning  deep patch learning fuzzy system  fuzzy C-means clustering  interpretability  maximum information coefficient (MIC)  Pearson's correlation coefficients (PCC)  
Fuzzy C-Means Clustering Based Deep Patch Learning With Improved Interpretability for Classification Problems 期刊论文
IEEE ACCESS, 2022, 卷号: 10, 页码: 49873-49891
Authors:  Huang, Yunhu;  Chen, Dewang;  Zhao, Wendi;  Lv, Yisheng
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Computational modeling  Training  Microwave integrated circuits  Deep learning  Data models  Artificial neural networks  Training data  Fuzzy c-means (FCM) clustering  maximal information coefficient (MIC)  random input (RI)  deep patch learning classifier  interpretability  
Deep Neural Fuzzy System Oriented toward High-Dimensional Data and Interpretable Artificial Intelligence 期刊论文
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 16, 页码: 19
Authors:  Chen, Dewang;  Cai, Jijie;  Huang, Yunhu;  Lv, Yisheng
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interpretability  high-dimensional data  adaptive neuro-fuzzy inference system  deep neural fuzzy system