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  

ARIMA  Auto Regressive Integrated Moving Average  ANN  Artificial Neural Networks  KF  Kalman Filter  MSM  Markov Switching Model  PCA  Principal Component Analysis  AA  Apriori Algorithm  BT  Bayesian Theory  SBM  Structural Break Modeling  GMCM  Gaussian Mixture Copula Model  NWP  Numerical Weather Prediction  KSF  Kalman Short-term Filtering  HIRLAM  High Resolution Limited Area Model  BP  Back Propagation  RBF  Radial Basis Function  ALE  Adaptive Linear Element  MAS  Multiple Architecture System  MLR  Multiple Linear Regression  MLP  Multi-Layer Perceptron  RBF  Radial Basis Function  SVM  Support Vector Machine  ABA  Ada-boost Algorithm  PSO  Particle Swarm Optimization  FAC  First-order Adaptive Coefficient  SAC  Second-order Adaptive Coefficient  SAA  Seasonal Adjustment Algorithm  ESM  Exponential Smoothing Method  MFNN  Multi-layer Feed-forward Neural Networks  FRR  Fuzzy Rough Regression  ELM  Extreme Learning Machines  MM5  Fifth Generation Mesoscale Model  GNWP  Global Numerical Weather Prediction  EPA  Evolutionary Programming Algorithm  OFM  Organizing Feature Maps  WD  Wavelet Decomposition  WPD  Wavelet Packet Decomposition  NF  Neuro-Fuzzy  ANFIS  Adaptive Neuro-Fuzzy Inference Systems  PM  Persistent Model  UKF  Unscented Kalman Filter  SVR  Support Vector Regression  FEEMD  Fast Ensemble Empirical Mode Decomposition  HM  Hammerstein Model  AR  Auto Regressive  EMD  Empirical Mode Decomposition  SDA  Secondary Decomposition Algorithm  PRWM  Persistent Random Walk Model  IMFs  Intrinsic Mode Functions  EEMD  Ensemble Empirical Mode Decomposition  GD-BP  Gradient Descent Back Propagation  GDM-BP  Gradient Descent with Momentum Back Propagation  GD-ALR-BP  Gradient Descent with Adaptive Learning Rate Back Propagation  GDM-ALR-BP  Gradient Descent with Momentum and Adaptive Learning Rate Back Propagation  CG-BP-FRU  Conjugate Gradient Back Propagation with Fletcher-Reeves Updates  CG-BP-PR  Conjugate Gradient Back Propagation with Polak-Ribiére Update  CG-BP-PBR  Conjugate Gradient Back Propagation with Powell-Beale Restarts  SCG-BP  Scaled Conjugate Gradient Back Propagation  BFGS-BP  Broyden-Fletcher-Goldfarb-Shanno Back Propagation  OSS-BP  One Step Secant Back Propagation  LM-BP  Levenberg Marquardt Back Propagation  MAE  Mean Absolute Error  MAPE  Mean Absolute Percentage Error  RMSE  Root Mean Square Error  Wind speed forecasting  Secondary decomposition algorithm  Wavelet packet decomposition  Fast ensemble empirical mode decomposition  Elman neural networks  

Time series forecasting  Recentness biased learning  Concept drifting  Autoregressive process  Feed-forward neural networks  Drift factor  Forgetting factor  ARTIFICIAL NEURAL-NETWORKS  DIMENSION-REDUCTION  PERFORMANCE  

软件可靠性预测  可信性  反馈神经网络  NSGA-II  多目标优化Computer software selection and evaluation  Forecasting  Multiobjective optimization  Network architecture  Neural networks