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Fuzzy Neural Networks (FNNs) Training Algorithm with Dropout via Its Equivalent Fully Connected Fuzzy Inference Systems (F-CONFIS) Conference paper
Wang，Jing, Chen，Philip, Ma，Zhenyuan, Xiao，Zhenghong. Fuzzy Neural Networks (FNNs) Training Algorithm with Dropout via Its Equivalent Fully Connected Fuzzy Inference Systems (F-CONFIS)[C], 2018, 80-84.
Authors:  Wang，Jing;  Chen，Philip;  Ma，Zhenyuan;  Xiao，Zhenghong
Favorite | TC[Scopus]:2 | Submit date：2021/03/09
Adaptive Neural-Fuzzy Inference Systems(ANFIS)  Fuzzy Inference Systems  Fuzzy Neural Networks  Gradient Descent  Neural Networks  
Ocular artifact removal from EEG using ANFIS Conference paper
Chen W., Wang Z., Lao K.F., Wan F.. Ocular artifact removal from EEG using ANFIS[C], 2014, 2410-2417.
Authors:  Chen W.;  Wang Z.;  Lao K.F.;  Wan F.
Favorite | TC[WOS]:2 TC[Scopus]:2 | Submit date：2018/12/24
Adaptive Noise Cancellation  Anfis  Eeg  Eog Artifact Removal  Time Delay  
Applying ensemble learning techniques to ANFIS for air pollution index prediction in Macau Conference paper
Lei K.S., Wan F.. Applying ensemble learning techniques to ANFIS for air pollution index prediction in Macau[C], 2012, 509-516.
Authors:  Lei K.S.;  Wan F.
Favorite | TC[Scopus]:20 | Submit date：2018/12/24
Anfis  Api  Ensemble Learning  Rmse  
Pre-processing for missing data: A hybrid approach to air pollution prediction in Macau Conference paper
Lei K.S., Wan F.. Pre-processing for missing data: A hybrid approach to air pollution prediction in Macau[C], 2010, 418-422.
Authors:  Lei K.S.;  Wan F.
Favorite | TC[Scopus]:14 | Submit date：2018/12/24
Anfis  Api  Multiple Imputation