[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 |
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Shen Li-Hua, Chen Ji-Hong, Zeng Zhi-Gang, Jin Jian.Chaotic time series prediction based on robust extreme learning machine. Acta Physica Sinica, 2018, 67(3): 030501.doi:10.7498/aps.67.20171887 |
[3] |
Mei Ying, Tan Guan-Zheng, Liu Zhen-Tao, Wu He.Chaotic time series prediction based on brain emotional learning model and self-adaptive genetic algorithm. Acta Physica Sinica, 2018, 67(8): 080502.doi:10.7498/aps.67.20172104 |
[4] |
Wang Xin-Ying, Han Min.Multivariate chaotic time series prediction using multiple kernel extreme learning machine. Acta Physica Sinica, 2015, 64(7): 070504.doi:10.7498/aps.64.070504 |
[5] |
Tian Zhong-Da, Li Shu-Jiang, Wang Yan-Hong, Gao Xian-Wen.Chaotic characteristics analysis and prediction for short-term wind speed time series. Acta Physica Sinica, 2015, 64(3): 030506.doi:10.7498/aps.64.030506 |
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Li Rui-Guo, Zhang Hong-Li, Fan Wen-Hui, Wang Ya.Hermite orthogonal basis neural network based on improved teaching-learning-based optimization algorithm for chaotic time series prediction. Acta Physica Sinica, 2015, 64(20): 200506.doi:10.7498/aps.64.200506 |
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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 |
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Chen Di-Yi, Liu Ye, Ma Xiao-Yi.Parameter joint estimation of phase space reconstruction in chaotic time series based on radial basis function neural networks. Acta Physica Sinica, 2012, 61(10): 100501.doi:10.7498/aps.61.100501 |
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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 |
[10] |
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 |
[11] |
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 |
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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 |
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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 |
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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 |
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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 |
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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 |
[17] |
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 |
[18] |
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 |
[19] |
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 |
[20] |
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 |