关注
Yun Bai
Yun Bai
Chongqing Technology and Business University
在 ctbu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Air pollutants concentrations forecasting using back propagation neural network based on wavelet decomposition with meteorological conditions
Y Bai, Y Li, X Wang, J Xie, C Li
Atmospheric pollution research 7 (3), 557-566, 2016
3232016
Daily reservoir inflow forecasting using multiscale deep feature learning with hybrid models
Y Bai, Z Chen, J Xie, C Li
Journal of hydrology 532, 193-206, 2016
2092016
An ensemble long short-term memory neural network for hourly PM2. 5 concentration forecasting
Y Bai, B Zeng, C Li, J Zhang
Chemosphere 222, 286-294, 2019
1672019
Improving forecasting accuracy of daily enterprise electricity consumption using a random forest based on ensemble empirical mode decomposition
C Li, Y Tao, W Ao, S Yang, Y Bai
Energy 165, 1220-1227, 2018
1482018
Forecasting the output of shale gas in China using an unbiased grey model and weakening buffer operator
B Zeng, H Duan, Y Bai, W Meng
Energy 151, 238-249, 2018
1482018
Development of an optimization method for the GM (1, N) model
B Zeng, C Luo, S Liu, Y Bai, C Li
Engineering Applications of Artificial Intelligence 55, 353-362, 2016
1272016
A multi-scale relevance vector regression approach for daily urban water demand forecasting
Y Bai, P Wang, C Li, J Xie, Y Wang
Journal of Hydrology 517, 236-245, 2014
1142014
A comparison of dimension reduction techniques for support vector machine modeling of multi-parameter manufacturing quality prediction
Y Bai, Z Sun, B Zeng, J Long, L Li, JV de Oliveira, C Li
Journal of Intelligent Manufacturing 30, 2245-2256, 2019
1092019
A multi-pattern deep fusion model for short-term bus passenger flow forecasting
Y Bai, Z Sun, B Zeng, J Deng, C Li
Applied Soft Computing 58, 669-680, 2017
1092017
Vehicular contribution of PAHs in size dependent road dust: A source apportionment by PCA-MLR, PMF, and Unmix receptor models
J Zhang, R Li, X Zhang, Y Bai, P Cao, P Hua
Science of the total environment 649, 1314-1322, 2019
1062019
Hourly PM2. 5 concentration forecast using stacked autoencoder model with emphasis on seasonality
Y Bai, Y Li, B Zeng, C Li, J Zhang
Journal of Cleaner Production 224, 739-750, 2019
932019
Daily natural gas consumption forecasting based on a structure-calibrated support vector regression approach
Y Bai, C Li
Energy and Buildings 127, 571-579, 2016
932016
Deep fuzzy echo state networks for machinery fault diagnosis
S Zhang, Z Sun, M Wang, J Long, Y Bai, C Li
IEEE Transactions on Fuzzy Systems 28 (7), 1205-1218, 2019
922019
Multiple Random Forests Modelling for Urban Water Consumption Forecasting
G Chen, T Long, J Xiong, Y Bai
Water Resources Management 31 (15), 4715-4729, 2017
872017
A novel sparse echo autoencoder network for data-driven fault diagnosis of delta 3-D printers
J Long, Z Sun, C Li, Y Hong, Y Bai, S Zhang
IEEE Transactions on Instrumentation and Measurement 69 (3), 683-692, 2019
752019
Manufacturing quality prediction using intelligent learning approaches: A comparative study
Y Bai, Z Sun, J Deng, L Li, J Long, C Li
Sustainability 10 (1), 85, 2017
722017
A manufacturing quality prediction model based on AdaBoost-LSTM with rough knowledge
Y Bai, J Xie, D Wang, W Zhang, C Li
Computers & Industrial Engineering 155, 107227, 2021
692021
Intelligent fault diagnosis of delta 3D printers using attitude sensors based on support vector machines
K He, Z Yang, Y Bai, J Long, C Li
Sensors 18 (4), 1298, 2018
662018
Hydrological modelling of karst catchment using lumped conceptual and data mining models
C Sezen, N Bezak, Y Bai, M Šraj
Journal of Hydrology 576, 98-110, 2019
642019
Deep feature learning architectures for daily reservoir inflow forecasting
C Li, Y Bai, B Zeng
Water Resources Management 30, 5145-5161, 2016
612016
系统目前无法执行此操作,请稍后再试。
文章 1–20