A New Direct Multi-step Ahead Prediction Model Based on EMD and Chaos Analysis: A New Direct Multi-step Ahead Prediction Model Based on EMD and Chaos Analysis
暂无分享，去创建一个
[1] Amir F. Atiya,et al. Multi-step-ahead prediction using dynamic recurrent neural networks , 2000, Neural Networks.
[2] Jacques Lemoine,et al. Empirical mode decomposition synthesis of fractional processes in 1D- and 2D-space , 2005, Image Vis. Comput..
[3] Hualou Liang,et al. Empirical mode decomposition: a method for analyzing neural data , 2005, Neurocomputing.
[4] David E. Rumelhart,et al. Predicting the Future: a Connectionist Approach , 1990, Int. J. Neural Syst..
[5] K. Coughlin,et al. 11-Year solar cycle in the stratosphere extracted by the empirical mode decomposition method , 2004 .
[6] S. Loutridis. Instantaneous energy density as a feature for gear fault detection , 2006 .
[7] Ronald J. Williams,et al. A Learning Algorithm for Continually Running Fully Recurrent Neural Networks , 1989, Neural Computation.
[8] Skander Soltani,et al. On the use of the wavelet decomposition for time series prediction , 2002, ESANN.
[9] Min Han,et al. Prediction of chaotic time series based on the recurrent predictor neural network , 2004, IEEE Transactions on Signal Processing.
[10] Amir B. Geva,et al. ScaleNet-multiscale neural-network architecture for time series prediction , 1998, IEEE Trans. Neural Networks.
[11] J. Suykens,et al. Learning a simple recurrent neural state space model to behave like Chua's double scroll , 1995 .