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Real-time prediction of river chloride concentration using ensemble learning 期刊论文
ENVIRONMENTAL POLLUTION, 2021, 卷号: 291, 页码: 12
作者:  Zhang, Qianqian
收藏  |  浏览/下载:56/0  |  提交时间:2021/12/07
一种基于MLP神经网络的铝电解槽出铝计算方法 期刊论文
甘肃科技, 2020, 期号: 2020-13, 页码: 9-12
作者:  李双雪;  陈荣;  唐宁;  王宁
收藏  |  浏览/下载:3/0  |  提交时间:2020/11/11
Accurate Classification of EEG Signals Using Neural Networks Trained by Hybrid Population-physic-based Algorithm 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 1, 页码: 108-122
作者:  Sajjad Afrakhteh;  Mohammad-Reza Mosavi;  Mohammad Khishe;  Ahmad Ayatollahi
收藏  |  浏览/下载:8/0  |  提交时间:2021/02/22
A temporally smoothed MLP regression scheme for continuous knee/ankle angles estimation by using multi-channel sEMG 期刊论文
IEEE Access, 2020, 卷号: 8, 页码: 47433-47444
作者:  Li ZY(李自由);  Zhang DH(张道辉);  Zhao XG(赵新刚);  Wang FY(王丰焱);  Zhang B(张弼)
收藏  |  浏览/下载:3/0  |  提交时间:2020/04/11
Zebrafish cysteine and glycine-rich protein 3 is essential for mechanical stability in skeletal muscles 期刊论文
BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, 2019, 卷号: 511, 期号: 3
作者:  Ding, Yuecen;  Geng, Fang;  Chang, Yue;  Hu, Yefan;  Zhang, Ruilin
收藏  |  浏览/下载:15/0  |  提交时间:2019/12/05
Real-Time Angular Velocity-Based Misfire Detection Using Artificial Neural Networks 期刊论文
Journal of Engineering for Gas Turbines and Power, 2019, 卷号: Vol.141 No.6, 页码: 061008
作者:  Zhang, P.;  Gao, W.;  Song, Q.;  Li, Y.;  Wei, L.
收藏  |  浏览/下载:9/0  |  提交时间:2019/11/21
Real-Time Angular Velocity- Based Misfire Detection Using Artificial Neural Networks 期刊论文
Journal of Engineering for Gas Turbines and Power, 2019, 卷号: Vol.141 No.6
作者:  Zhang, P.;  Gao, W.;  Song, Q.;  Li, Y.;  Wei, L.
收藏  |  浏览/下载:8/0  |  提交时间:2019/11/21
基于体感相机的YuMi机器人人机协作研究 学位论文
: 西安理工大学, 2019
作者:  杨志伟
收藏  |  浏览/下载:7/0  |  提交时间:2019/12/20
Modified multi-dimensional limiting process with enhanced shock stability on unstructured grids 期刊论文
COMPUTERS & FLUIDS, 2018, 卷号: 161, 页码: 171-188
作者:  Zhang, Fan;  Liu, Jun;  Chen, Biaosong
收藏  |  浏览/下载:2/0  |  提交时间:2019/12/02
Big multi-step wind speed forecasting model based on secondary decomposition, ensemble method and error correction algorithm 期刊论文
Energy Conversion and Management, 2018, 卷号: 156, 页码: 525-541
作者:  Liu, Hui;  Duan, Zhu;  Han, Feng-ze;  Li, Yan-fei*
收藏  |  浏览/下载:40/0  |  提交时间:2019/12/03
NWP  numerical weather prediction  CS  Cuckoo search  FS  fuzzy system  WRF  weather research and forecasting  KF  Kalman filter  ARIMA  auto-regressive integrated moving average  ARCH  autoregressive conditional heteroskedasticity  ANN  artificial neural networks  SVM  support vector machine  CRO  Coral Reefs optimization algorithm  ELM  extreme learning machine  MFNN  multi-layer feed-forward neural network  SPSA  simultaneous perturbation stochastic approximation  HM  Hammerstein Model  AR  auto-regressive  AdaBoost  adaptive boosting  MLP  multilayer perceptron  DNN-MRT  deep neural network based meta regression and transfer learning  WD  wavelet decomposition  FEEMD  fast ensemble empirical mode decomposition  EMD  empirical mode decomposition  WPD  wavelet packet decomposition  SSA  singular spectrum analysis  BFGS  Broyden–Fletcher–Goldfarb–Shanno Quasi-Newton Back Propagation  LSSVM  least square support vector machine  PSOGSA  partial swarm optimization combined with gravitational search algorithm  FCM  fuzzy C-means  EEMD  ensemble empirical mode decomposition  SampEn  sample entropy  VMD  variational mode decomposition  MAdaBoost  Modified AdaBoost.RT  WF  wavelet filter  MAE  mean absolute error  MAPE  mean absolute percentage error  RMSE  root mean squared error  CWT  continuous wavelet transform  DWT  discrete wavelet transform  LMD  local mean decomposition  ADMM  alternate direction method of multipliers  Big multi-step wind speed forecasting  Wavelet decomposition  Variational mode decomposition  Sample entropy  Modified adaBoost.RT  Wavelet filter  


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