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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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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 |
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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 |
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Tian Zhong-Da, Gao Xian-Wen, Shi Tong.Combination kernel function least squares support vector machine for chaotic time series prediction. Acta Physica Sinica, 2014, 63(16): 160508.doi:10.7498/aps.63.160508 |
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Zhao Yong-Ping, Wang Kang-Kang.Chaotic time series prediction using add-delete mechanism based regularized extreme learning machine. Acta Physica Sinica, 2013, 62(24): 240509.doi:10.7498/aps.62.240509 |
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Zhao Yong-Ping, Zhang Li-Yan, Li De-Cai, Wang Li-Feng, Jiang Hong-Zhang.Chaotic time series prediction using filtering window based least squares support vector regression. Acta Physica Sinica, 2013, 62(12): 120511.doi:10.7498/aps.62.120511 |
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Yu Yan-Hua, Song Jun-De.Redundancy-test-based hyper-parameters selection approach for support vector machines to predict time series. Acta Physica Sinica, 2012, 61(17): 170516.doi:10.7498/aps.61.170516 |
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Zhang Xian, Wang Hong-Li.Selective forgetting extreme learning machine and its application to time series prediction. Acta Physica Sinica, 2011, 60(8): 080504.doi:10.7498/aps.60.080504 |
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Yan Xiao-Mei, Liu Ding.Control of fractional order chaotic system based on least square support vector machines. Acta Physica Sinica, 2010, 59(5): 3043-3048.doi:10.7498/aps.59.3043 |
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Zhang Yong, Guan Wei.Predication of multivariable chaotic time series based on maximal Lyapunov exponent. Acta Physica Sinica, 2009, 58(2): 756-763.doi:10.7498/aps.58.756 |
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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 |
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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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Zhang Jun-Feng, Hu Shou-Song.Chaotic time series prediction based on multi-kernel learning support vector regression. Acta Physica Sinica, 2008, 57(5): 2708-2713.doi:10.7498/aps.57.2708 |
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Zhang Jia-Shu, Dang Jian-Liang, Li Heng-Chao.Local support vector machine prediction of spatiotemporal chaotic time series. Acta Physica Sinica, 2007, 56(1): 67-77.doi:10.7498/aps.56.67 |
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.Prediction of chaotic time series based on selective support vector machine ensemble. Acta Physica Sinica, 2007, 56(12): 6820-6827.doi:10.7498/aps.56.6820 |
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Yu Zhen-Hua, Cai Yuan-Li.Prediction of chaotic time-series based on online wavelet support vector regression. Acta Physica Sinica, 2006, 55(4): 1659-1665.doi:10.7498/aps.55.1659 |
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Ye Mei-Ying.Control of chaotic system based on least squares support vector machine modeling. Acta Physica Sinica, 2005, 54(1): 30-34.doi:10.7498/aps.54.30 |
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Liu Han, Liu Ding, Ren Hai-Peng.Chaos control based on least square support vector machines. Acta Physica Sinica, 2005, 54(9): 4019-4025.doi:10.7498/aps.54.4019 |
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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 |
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Cui Wan-Zhao, Zhu Chang-Chun, Bao Wen-Xing, Liu Jun-Hua. for fuzzy rule-based modeling. Acta Physica Sinica, 2005, 54(7): 3009-3018.doi:10.7498/aps.54.3009 |
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