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CORC

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A secondary-decomposition-ensemble learning paradigm for forecasting PM2.5 concentration 期刊论文
ATMOSPHERIC POLLUTION RESEARCH, 2018, 卷号: 9, 期号: 6, 页码: 989-999
作者:  Gan, Kai;  Sun, Shaolong;  Wang, Shouyang;  Wei, Yunjie
收藏  |  浏览/下载：47/0  |  提交时间：2018/11/16
Spatial downscaling of TRMM precipitation data considering the impacts of macro-geographical factors and local elevation in the Three-River Check for updates Headwaters Region 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2018, 卷号: 215, 页码: 109-127
作者:  Zhang, Tao;  Li, Baolin;  Yuan, Yecheng;  Gao, Xizhang;  Sun, Qingling
收藏  |  浏览/下载：47/0  |  提交时间：2019/05/23
Calibrated multi-task learning 会议论文
London, United kingdom, 2018-08-19
作者:  Nie, Feiping;  Hu, Zhanxuan;  Li, Xuelong
收藏  |  浏览/下载：23/0  |  提交时间：2018/09/27
Two-Step Quantization for Low-bit Neural Networks 会议论文
Salt Lake City, 2018.06.18-2018.06.22
作者:  Wang, Peisong;  Hu, Qinghao;  Zhang, Yifan;  Zhang, Chunjie;  Liu, Yang
收藏  |  浏览/下载：43/0  |  提交时间：2018/05/05
A novel stacked regression algorithm based on slice transform for small sample size problem in spectroscopic analysis 会议论文
Zhengzhou, China, July 20-22, 2018
作者:  Yifan Wu;  Silong Peng;  Qiong Xie;  Quanjie Han
收藏  |  浏览/下载：34/0  |  提交时间：2019/04/29
A decomposition-clustering-ensemble learning approach for solar radiation forecasting 期刊论文
SOLAR ENERGY, 2018, 卷号: 163, 页码: 189-199
作者:  Sun, Shaolong;  Wang, Shouyang;  Zhang, Guowei;  Zheng, Jiali
收藏  |  浏览/下载：35/0  |  提交时间：2018/07/30
Linear spectral unmixing using endmember coexistence rules and spatial correlation 期刊论文
INTERNATIONAL JOURNAL OF REMOTE SENSING, 2018, 卷号: 39, 期号: 11, 页码: 3512-3536
作者:  Ma, Tianxiao;  Li, Runkui;  Svenning, Jens-Christian;  Song, Xianfeng
收藏  |  浏览/下载：29/0  |  提交时间：2019/05/30
Optimal Subsampling for Large Sample Logistic Regression 期刊论文
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2018, 卷号: 113, 期号: 522, 页码: 829-844
作者:  Wang, HaiYing;  Zhu, Rong;  Ma, Ping
收藏  |  浏览/下载：68/0  |  提交时间：2018/09/08
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：38/0  |  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  
Comparison of two new intelligent wind speed forecasting approaches based on Wavelet Packet Decomposition, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Artificial Neural Networks 期刊论文
Energy Conversion and Management, 2018, 卷号: 155, 页码: 188-200
作者:  Liu, Hui;  Mi, Xiwei;  Li, Yanfei*
收藏  |  浏览/下载：41/0  |  提交时间：2019/12/03
Wind speed forecasting  Wavelet packet decomposition  Complete Ensemble Empirical Mode Decomposition with Adaptive Noise  Artificial Neural Network  ANN  Artificial Neural Network  AR  Auto Regressive  ARIMA  Auto Regressive Integrated Moving Average  BA  Bat Algorithm  BP  Back-propagation Neural Network  CEEMDAN  Complete Ensemble Empirical Mode Decomposition  CG  Conjugate Gradient  CLSFPA  Flower Pollination Algorithm with Chaotic Local Search  CNN  Convolutional Neural Network  CS  Compressive Sensing  CSA  Cuckoo Search Algorithm  EEMD  Ensemble Empirical Mode Decomposition  ESM  Exponential Smoothing Method  FA  Firefly Algorithm  FAC  First-order Adaptive Coefficient  GA  Genetic Algorithm  GRNN  General Regression Neural Network  HBSA  Hybrid Backtracking Search Algorithm  HWM  Holt-Winters Model  IMFs  Intrinsic Mode Functions  IS  Input parameter Selection  KF  Kalman filter  LSSVM  Least Square Support Vector Machine  MAE  Mean Absolute Error  MAPE  Mean Absolute Percentage Error  MLP  Multilayer Perceptron Neural Network  MOBA  Multi Objective Bat Algorithm  NNCT  No Negative Constraint Theory  NSGA  Non-dominated Sorting Genetic Algorithm  OVMD  Optimized Variational Mode Decomposition  PSO  Particle Swam Optimization  PSOSA  Particle Swarm Optimization based on Simulated Annealing  PSR  Phase Space Reconstruction  RBF  Radial Basis Function Neural Network  RMSE  Root Mean Square Error  SAC  Second-order Adaptive Coefficient  SAM  Seasonal Adjustment Method  SDA  Secondary Decomposition Algorithm  SEA  Seasonal Exponential Adjustment  SOM  Self-Organizing feature Maps  SSA  Singular Spectrum Analysis  SVR  Support Vector Regression  VMD  Variational Mode Decomposition  v-SVM  v-Support Vector Machine  WD  Wavelet Decomposition  WPD  Wavelet Packet Decomposition  

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