[1] |
Liu Qi, Li Pu, Kai Chao, Hu Chun-Qiang, Cai Qiang, Zhang Jian-Guo, Xu Bing-Jie.Short-time prediction of chaotic laser using time-delayed photonic reservoir computing. Acta Physica Sinica, 2021, 70(15): 154209.doi:10.7498/aps.70.20210355 |
[2] |
Zhang Yu-Mei, Wu Xiao-Jun, Bai Shu-Lin.Chaotic characteristic analysis for traffic flow series and DFPSOVF prediction model. Acta Physica Sinica, 2013, 62(19): 190509.doi:10.7498/aps.62.190509 |
[3] |
Mao Yuan, Guo Li-Xin, Din Hui-Fen, Liu Wei.A new method to predict the wind direction from HF radar Doppler spectrum. Acta Physica Sinica, 2012, 61(4): 044201.doi:10.7498/aps.61.044201 |
[4] |
Ma Qing-Lu, Liu Wei-Ning, Sun Di-Hua.Multi-parameter fusion applied to road traffic condition forecasting. Acta Physica Sinica, 2012, 61(16): 169501.doi:10.7498/aps.61.169501 |
[5] |
Zhang Wen-Zhuan, Long Wen, Jiao Jian-Jun.Parameter determination based on composite evolutionary algorithm for reconstructing phase-space in chaos time series. Acta Physica Sinica, 2012, 61(22): 220506.doi:10.7498/aps.61.220506 |
[6] |
Feng Guo-Lin, Yang Jie, Wang Qi-Guang, Zhi Rong.Dynamic optimal multi-indexes configuration for estimating the prediction errors of dynamical climate model in North China. Acta Physica Sinica, 2011, 60(2): 029204.doi:10.7498/aps.60.029204 |
[7] |
Li He, Yang Zhou, Zhang Yi-Min, Wen Bang-Chun.Methodology of estimating the embedding dimension in chaos time series based on the prediction performance of radial basis function neural networks. Acta Physica Sinica, 2011, 60(7): 070512.doi:10.7498/aps.60.070512 |
[8] |
Li Jun, Zhang You-Peng.Single-step and multiple-step prediction of chaotic time series using Gaussian process model. Acta Physica Sinica, 2011, 60(7): 070513.doi:10.7498/aps.60.070513 |
[9] |
Zhang Chun-Tao, Ma Qian-Li, Peng Hong.Chaotic time series prediction based on information entropy optimized parameters of phase space reconstruction. Acta Physica Sinica, 2010, 59(11): 7623-7629.doi:10.7498/aps.59.7623 |
[10] |
Mao Jian-Qin, Ding Hai-Shan, Yao Jian.Chaotic time series prediction based on fuzzy tree. Acta Physica Sinica, 2009, 58(4): 2220-2230.doi:10.7498/aps.58.2220 |
[11] |
Ma Qian-Li, Zheng Qi-Lun, Peng Hong, Qin Jiang-Wei.Chaotic time series prediction based on fuzzy boundary modular neural networks. Acta Physica Sinica, 2009, 58(3): 1410-1419.doi:10.7498/aps.58.1410 |
[12] |
Cai Cong-Zhong, Zhuang Wei-Ping, Wen Yu-Feng, Zhu Xing-Jian, Pei Jun-Fang, Xiao Ting-Ting.Topological research on the molar magnetic susceptibility of alkali metal compounds with support vector regression. Acta Physica Sinica, 2009, 58(13): 272-S277.doi:10.7498/aps.58.272 |
[13] |
Wang Ge-Li, Yang Pei-Cai, Mao Yu-Qing.On the application of non-stationary time series prediction based on the SVM method. Acta Physica Sinica, 2008, 57(2): 714-719.doi:10.7498/aps.57.714 |
[14] |
Yang Yong-Feng, Ren Xing-Min, Qin Wei-Yang, Wu Ya-Feng, Zhi Xi-Zhe.Prediction of chaotic time series based on EMD method. Acta Physica Sinica, 2008, 57(10): 6139-6144.doi:10.7498/aps.57.6139 |
[15] |
Wang Yong-Sheng, Sun Jin, Wang Chang-Jin, Fan Hong-Da.Prediction of the chaotic time series from parameter-varying systems using artificial neural networks. Acta Physica Sinica, 2008, 57(10): 6120-6131.doi:10.7498/aps.57.6120 |
[16] |
Yan Hua, Wei Ping, Xiao Xian-Ci.An adaptive approach based on Bernstein polynomial to predict chaotic time series. Acta Physica Sinica, 2007, 56(9): 5111-5118.doi:10.7498/aps.56.5111 |
[17] |
Zhang Jun-Feng, Hu Shou-Song.Chaotic time series prediction based on RBF neural networks with a new clustering algorithm. Acta Physica Sinica, 2007, 56(2): 713-719.doi:10.7498/aps.56.713 |
[18] |
He Tao, Zhou Zheng-Ou.Prediction of chaotic time series based on fractal self-affinity. Acta Physica Sinica, 2007, 56(2): 693-700.doi:10.7498/aps.56.693 |
[19] |
Li Jun, Liu Jun-Hua.On the prediction of chaotic time series using a new generalized radial basis function neural networks. Acta Physica Sinica, 2005, 54(10): 4569-4577.doi:10.7498/aps.54.4569 |
[20] |
Ye Mei-Ying, Wang Xiao-Dong, Zhang Hao-Ran.Chaotic time series forecasting using online least squares support vector machine regression. Acta Physica Sinica, 2005, 54(6): 2568-2573.doi:10.7498/aps.54.2568 |