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Gradient radial basis function based varying-coefficient autoregressive model for nonlinear and nonstationary time series Journal article
IEEE Signal Processing Letters, 2015,Volume: 22,Issue: 7,Page: 809-812
Authors:  Gan M.;  Chen C.L.P.;  Li H.-X.;  Chen L.
Favorite  |  View/Download:4/0  |  Submit date:2019/02/11
Functional-coefficient Autoregressive Model  Gradient Radial Basis Function  Nonlinear And Nonstationary Time Series  Separable Nonlinear Least Squares  
A forecasting method based on extrema mean empirical mode decomposition and wavelet neural network Conference paper
Proceedings - 2015 IEEE 2nd International Conference on Cybernetics, CYBCONF 2015, Gdynia, Poland, 24-26 June 2015
Authors:  Pan J.;  Zheng X.;  Yang L.;  Wang Y.;  Yuan H.;  Tang Y.Y.
Favorite  |  View/Download:5/0  |  Submit date:2019/02/11
Empirical Mode Decomposition  Forecasting  Wavelet Neural Network  
Prediction of Major Earthquakes as Rare Events Using RF-Typed Polynomial Neural Networks Book chapter
出自: Encyclopedia of Information Science and Technology, Third Edition:IGI Global, 2015
Authors:  Fong, Simon;  Deb, Suash
Favorite  |  View/Download:4/0  |  Submit date:2019/07/24
Neural Networks  Autoregressive Integrated Moving Average Model (Arima)  Time-series  Hurst Factor  Goodness-of-fit  Curve Fitting  
A Potential Method for Determining Nonlinearity in Wind Data Conference paper
IEEE Power and Energy Technology Systems Journal, USA, 2015
Authors:  MIN GAN;  HAN-XIONG LI;  C. L. PHILIP CHEN;  LONG CHEN
Favorite  |  View/Download:3/0  |  Submit date:2019/05/17
Nonlinearity  Surrogate Data Test  Wind Forecasting  White Noise  
Predictive Deep Boltzmann Machine for Multiperiod Wind Speed Forecasting Journal article
IEEE Transactions on Sustainable Energy, 2015,Volume: 6,Issue: 4,Page: 1416
Authors:  Zhang C.-Y.;  Chen C.L.P.;  Gan M.;  Chen L.
Favorite  |  View/Download:5/0  |  Submit date:2018/10/30
Deep Boltzmann Machine (Dbm)  Deep Learning  Time Series  Wind Speed Prediction