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Sparse Bayesian Variable Selection with Correlation Prior for Forecasting Macroeconomic Variable using Highly Correlated Predictors Journal article
COMPUTATIONAL ECONOMICS, 2018,Volume: 51,Issue: 2,Page: 323-338
Authors:  Aijun Yang;  Ju Xiang;  Lianjie Shu;  Hongqiang Yang
Favorite  |  View/Download:11/0  |  Submit date:2018/10/30
Sparse Bayesian Variable Selection  Correlation Prior  Highly Correlated Predictors  Out-of-sample Forecasting  
Forecasting energy consumption from smart home sensor network by deep learning Conference paper
Communications in Computer and Information Science
Authors:  Dey N.;  Fong S.;  Song W.;  Cho K.
Favorite  |  View/Download:5/0  |  Submit date:2019/02/13
Deep learning  Energy prediction  IoT smart home  Time-series forecasting  
Modelling and Trading the English and German Stock Markets with Novelty Optimization Techniques Journal article
JOURNAL OF FORECASTING, 2017,Volume: 36,Issue: 8,Page: 974-988
Authors:  Karathanasopoulos, Andreas;  Mitra, Sovan;  Skindilias, Konstantinos;  Lo, Chia Chun
Favorite  |  View/Download:12/0  |  Submit date:2018/10/30
particle swarm optimization  radial basis function  confirmation filters  FTSE 100  DAX 30day trading  
A decomposition-and-ensemble forecasting method based on EMEMD and FWNN training by PSOSSO Conference paper
Authors:  Pan, Jianjia;  Tang, Yuan Yan;  Yang, Lina;  IEEE
Favorite  |  View/Download:5/0  |  Submit date:2018/10/30
forecasting  empirical mode decomposition  fuzzy wavelet neural network  PSOSSO  
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:6/0  |  Submit date:2019/02/12
Financial Forecasting  Fuzzy Time Series  Genetic Algorithm  Technical Analysis  
Exploiting the interpretability and forecasting ability of the RBF-AR model for nonlinear time series Journal article
International Journal of Systems Science, 2016,Volume: 47,Issue: 8,Page: 1868-1876
Authors:  Gan M.;  Philip Chen C.L.;  Chen L.;  Zhang C.-Y.
Favorite  |  View/Download:6/0  |  Submit date:2019/02/11
Forecasting  Modelling  State-dependent Model  Time Series  Varying Coefficient Model  
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:4/0  |  Submit date:2018/10/30
Deep Boltzmann Machine (Dbm)  Deep Learning  Time Series  Wind Speed Prediction  
Evolutionary computation with multi-variates hybrid multi-order fuzzy time series for stock forecasting Conference paper
2014 IEEE 17th International Conference on Computational Science and Engineering, Chengdu, China, 19-21 Dec. 2014
Authors:  Shanhong Wan;  Defu Zhang;  Yain-Whar Si
Favorite  |  View/Download:2/0  |  Submit date:2019/02/14
Genetic Algorithm  Multi-variates Hybrid Multiorder Fuzzy Time Series  Stock Forecasting  
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:2/0  |  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:2/0  |  Submit date:2019/05/17
Nonlinearity  Surrogate Data Test  Wind Forecasting  White Noise