Multi-step-prediction of chaotic time series based on co-evolutionary recurrent neural network

M Qian-Li, Z Qi-Lun, P Hong, Z Tan-Wei… - Chinese …, 2008 - iopscience.iop.org
This paper proposes a co-evolutionary recurrent neural network (CERNN) for the multi-step-
prediction of chaotic time series, it estimates the proper parameters of phase space …

[PDF][PDF] Multi-step-prediction of chaotic time series based on co-evolutionary recurrent neural network

M Qian-Li, Z Qi-Lun, P Hong, Z Tan-Wei, Q Jiang-Wei - Chinese Physics B, 2008 - Citeseer
This paper proposes a co-evolutionary recurrent neural network (CERNN) for the multi-step-
prediction of chaotic time series, it estimates the proper parameters of phase space …

Multi-step-prediction of chaotic time series based on co-evolutionary recurrent neural network

Q Ma, Q Zheng, H Peng, J Qin, T Zhong - Chinese Physics. B, 2008 - inis.iaea.org
[en] This paper proposes a co-evolutionary recurrent neural network (CERNN) for the multi-
step-prediction of chaotic time series, it estimates the proper parameters of phase space …

Multi-step-prediction of chaotic time series based on co-evolutionary recurrent neural network

M Qianli, Z Qilun, P Hong, Q Jiangwei, Z Tanwei - Chinese Physics. B, 2008 - osti.gov
This paper proposes a co-evolutionary recurrent neural network (CERNN) for the multi-step-
prediction of chaotic time series, it estimates the proper parameters of phase space …

Multi-step-prediction of chaotic time series based on co-evolutionary recurrent neural network

QL Ma, QL Zheng, H Peng, TW Zhong… - Chinese Physics …, 2008 - ui.adsabs.harvard.edu
This paper proposes a co-evolutionary recurrent neural network (CERNN) for the multi-step-
prediction of chaotic time series, it estimates the proper parameters of phase space …