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Wind turbine fault diagnosis based on transfer learning and convolutional autoencoder with small-scale data Journal article
Li, Yanting, Jiang, Wenbo, Zhang, Guangyao, Shu, Lianjie. Wind turbine fault diagnosis based on transfer learning and convolutional autoencoder with small-scale data[J]. Renewable Energy, 2021, 171, 103-115.
Authors:  Li, Yanting;  Jiang, Wenbo;  Zhang, Guangyao;  Shu, Lianjie
Favorite | TC[WOS]:89 TC[Scopus]:104  IF:9.0/8.1 | Submit date：2021/12/08
Convolutional Autoencoder  Fault Diagnosis  Small-scale Data  Transfer Learning  Wind Turbine  
Food bioactive small molecule databases: Deep boosting for the study of food molecular behaviors Journal article
Yang,Zheng Fei, Xiao,Ran, Luo,Fei Jun, Lin,Qin Lu, Ouyang,Defang, Dong,Jie, Zeng,Wen Bin. Food bioactive small molecule databases: Deep boosting for the study of food molecular behaviors[J]. Innovative Food Science and Emerging Technologies, 2020, 66, 102499.
Authors:  Yang,Zheng Fei;  Xiao,Ran;  Luo,Fei Jun;  Lin,Qin Lu;  Ouyang,Defang; et al.
Favorite | TC[WOS]:4 TC[Scopus]:5  IF:6.3/6.5 | Submit date：2021/03/02
Bioactive Data  Food  Food Compound  Food Database  Small Molecule  
Deep learning for in vitro prediction of pharmaceutical formulations Journal article
Yang Y., Ye Z., Su Y., Zhao Q., Li X., Ouyang D.. Deep learning for in vitro prediction of pharmaceutical formulations[J]. Acta Pharmaceutica Sinica B, 2019, 9(1), 177-185.
Authors:  Yang Y.;  Ye Z.;  Su Y.;  Zhao Q.;  Li X.; et al.
Favorite | TC[WOS]:88 TC[Scopus]:112 | Submit date：2019/02/14
Automatic Dataset Selection Algorithm  Deep Learning  Oral Fast Disintegrating Films  Oral Sustained Release Matrix Tablets  Pharmaceutical Formulation  Small Data  
Regularization parameter estimation for feedforward neural networks Journal article
Guo P., Lyu M.R., Chen C.L.P.. Regularization parameter estimation for feedforward neural networks[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2003, 33(1), 35-44.
Authors:  Guo P.;  Lyu M.R.;  Chen C.L.P.
Favorite | TC[WOS]:76 TC[Scopus]:80 | Submit date：2019/02/11
Regularization Parameter Estimation  Small Training Data Set  Tikhonov Regularizer  
Cluster number selection for a small set of samples using the Bayesian Ying-Yang model Journal article
Guo P., Chen C.L.P., Lyu M.R.. Cluster number selection for a small set of samples using the Bayesian Ying-Yang model[J]. IEEE Transactions on Neural Networks, 2002, 13(3), 757-763.
Authors:  Guo P.;  Chen C.L.P.;  Lyu M.R.
Favorite | TC[WOS]:61 TC[Scopus]:65 | Submit date：2019/02/11
Bootstrap  Cluster Number Selection  Data Smoothing  Sem Algorithm  Small Number Sample Set  Smoothing Parameter Estimation