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Correntropy-Based Evolving Fuzzy Neural System Journal article
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018,Volume: 26,Issue: 3,Page: 1324-1338
Authors:  Bao, Rong-Jing;  Rong, Hai-Jun;  Angelov, Plamen P.;  Chen, Badong;  Wong, Pak Kin
Favorite  |  View/Download:22/0  |  Submit date:2018/10/30
Correntropy  Evolving Fuzzy Neural System (Efns)  Mean-square Error (Mse)  Nonlinear System  Steady-state Excess Mean Square Error (Emse)  
Exploit every cycle: Vectorized time series algorithms on modern commodity CPUs Conference paper
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), New Delhi, India, 9 1, 2016 - 9 1, 2016
Authors:  Tang, Bo;  Yiu, Man Lung;  Li, Yuhong;  U, Leong Hou
Favorite  |  View/Download:7/0  |  Submit date:2018/11/06
A novel forecasting method based on multi-order fuzzy time series and technical analysis Journal article
Information Sciences, 2016,Volume: 367-368,Page: 41-57
Authors:  Ye F.;  Zhang L.;  Zhang D.;  Fujita H.;  Gong Z.
Favorite  |  View/Download:9/0  |  Submit date:2019/02/12
Financial Forecasting  Fuzzy Time Series  Genetic Algorithm  Technical Analysis  
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  
Prediction of Daily PV Power via Time Series Modelling Conference paper
the Proceeding of the 2014 International Conference on Energy and Power Engineering, Hong Kong, PEOPLES R CHINA, APR 26-27, 2014
Authors:  Yan-ting LI;  Yan SU;  Lian-jie SHU;  Sio-Kei NG
Favorite  |  View/Download:6/0  |  Submit date:2019/04/25
Output Power  Pv System  Solar Irradiance  
Analysis of daily solar power prediction with data-driven approaches Journal article
Applied Energy, 2014,Volume: 126,Page: 29
Authors:  Long H.;  Zhang Z.;  Su Y.
Favorite  |  View/Download:11/0  |  Submit date:2018/10/30
Artificial Neural Network (Ann)  Data Mining  Solar Power Prediction  Support Vector Machine (Svm)  Time-series Model