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Liang Ke-Da, Liu Teng-Fei, Chang Zhe, Zhang Meng, Li Zhi-Xin, Huang Song-Song, Wang Jing.Inversion models of internal solitary wave propagation speed in ocean based on least squares method and support vector machine. Acta Physica Sinica, 2023, 72(2): 028301.doi:10.7498/aps.72.20221633 |
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Qi Le-Tian, Wang Shi-Yuan, Shen Ming-Lin, Huang Gang-Yi.Prediction of chaotic time series based on Nyström Cauchy kernel conjugate gradient algorithm. Acta Physica Sinica, 2022, 71(10): 108401.doi:10.7498/aps.71.20212274 |
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Wang Shi-Yuan, Shi Chun-Fen, Qian Guo-Bing, Wang Wan-Li.Prediction of chaotic time series based on the fractional-order maximum correntropy criterion algorithm. Acta Physica Sinica, 2018, 67(1): 018401.doi:10.7498/aps.67.20171803 |
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Tang Zhou-Jin, Peng Tao, Wang Wen-Bo.A local least square support vector machine prediction algorithm of small scale network traffic based on correlation analysis. Acta Physica Sinica, 2014, 63(13): 130504.doi:10.7498/aps.63.130504 |
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Hou Gong-Yu, Liang Rong, Sun Lei, Liu Lin, Gong Yan-Fen.Risk analysis on long inclined-shaft construction in coalmine by TBM techniques based on multiple variables chaotic time series. Acta Physica Sinica, 2014, 63(9): 090505.doi:10.7498/aps.63.090505 |
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Tang Zhou-Jin, Ren Feng, Peng Tao, Wang Wen-Bo.A least square support vector machine prediction algorithm for chaotic time series based on the iterative error correction. Acta Physica Sinica, 2014, 63(5): 050505.doi:10.7498/aps.63.050505 |
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Wang Xin-Ying, Han Min, Wang Ya-Nan.Analysis of noisy chaotic time series prediction error. Acta Physica Sinica, 2013, 62(5): 050504.doi:10.7498/aps.62.050504 |
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Song Tong, Li Han.Chaotic time series prediction based on wavelet echo state network. Acta Physica Sinica, 2012, 61(8): 080506.doi:10.7498/aps.61.080506 |
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Wang Xin-Ying, Han Min.Multivariate chaotic time series prediction based on extreme learning machine. Acta Physica Sinica, 2012, 61(8): 080507.doi:10.7498/aps.61.080507 |
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Gao Guang-Yong, Jiang Guo-Ping.Prediction of multivariable chaotic time series using optimized extreme learning machine. Acta Physica Sinica, 2012, 61(4): 040506.doi:10.7498/aps.61.040506 |
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Yu Si-Yao, Guo Shu-Xu, Gao Feng-Li.Calculation of the Lyapunov exponent for low frequency noise in semiconductor laser and chaos indentification. Acta Physica Sinica, 2009, 58(8): 5214-5217.doi:10.7498/aps.58.5214 |
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Zhang Xiao-Dan, Liu Xiang, Zhao Pin-Dong.Methods for calculating the main-axis Lyapunov exponents of a type of chaotic systems with delay. Acta Physica Sinica, 2009, 58(7): 4415-4420.doi:10.7498/aps.58.4415 |
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Yang Yong-Feng, Wu Ya-Feng, Ren Xing-Min, Qin Wei-Yang, Zhi Xi-Zhe, Qiu Yan.The largest Lyapunov prediction method for the end issue of empirical mode decomposition. Acta Physica Sinica, 2009, 58(6): 3742-3746.doi:10.7498/aps.58.3742 |
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Song Qing-Song, Feng Zu-Ren, Li Ren-Hou.Multiple clusters echo state network for chaotic time series prediction. Acta Physica Sinica, 2009, 58(7): 5057-5064.doi:10.7498/aps.58.5057 |
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Liu Fu-Cai, Zhang Yan-Liu, Chen Chao.Prediction of chaotic time series based on robust fuzzy clustering. Acta Physica Sinica, 2008, 57(5): 2784-2790.doi:10.7498/aps.57.2784 |
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Han Min, Shi Zhi-Wei, Guo Wei.Reservoir neural state reconstruction and chaotic time series prediction. Acta Physica Sinica, 2007, 56(1): 43-50.doi:10.7498/aps.56.43 |
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Lu Shan, Wang Hai-Yan.Calculation of the maximal Lyapunov exponent from multivariate data. Acta Physica Sinica, 2006, 55(2): 572-576.doi:10.7498/aps.55.572 |
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Hu Yu-Xia, Gao Jin-Feng.A neuro-fuzzy method for predicting the chaotic time series. Acta Physica Sinica, 2005, 54(11): 5034-5038.doi:10.7498/aps.54.5034 |
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Cui Wan-Zhao, Zhu Chang-Chun, Bao Wen-Xing, Liu Jun-Hua.Prediction of the chaotic time series using support vector machines for fuzzy rule-based modeling. Acta Physica Sinica, 2005, 54(7): 3009-3018.doi:10.7498/aps.54.3009 |
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Cui Wan-Zhao, Zhu Chang-Chun, Bao Wen-Xing, Liu Jun-Hua.Prediction of the chaotic time series using support vector machines. Acta Physica Sinica, 2004, 53(10): 3303-3310.doi:10.7498/aps.53.3303 |
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