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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,
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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.
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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.
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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.
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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.
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Xing HongYan, Qi ZhengDong, Xu Wei. Weak signal estimation in chaotic clutter using selective support vector machine ensemble. Acta Physica Sinica,
2012, 61(24): 240504.
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Wang Fang-Fang, Zhang Ye-Rong. An electromagnetic inverse scattering approach based on support vector machine. Acta Physica Sinica,
2012, 61(8): 084101.
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Xing Hong-Yan, Cheng Yan-Yan, Xu Wei. Detection of weak target signal with least-squares support vector machine and generalized embedding windows under chaotic background. Acta Physica Sinica,
2012, 61(10): 100506.
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Zhu Shao-Ping, Qian Fu-Cai, Liu Ding. Optimal control for uncertainty dynamic chaotic systems. Acta Physica Sinica,
2010, 59(4): 2250-2255.
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Chen Qiang, Ren Xue-Mei. Chaos modeling and real-time online prediction of permanent magnet synchronous motor based on multiple kernel least squares support vector machine. Acta Physica Sinica,
2010, 59(4): 2310-2318.
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Xing Hong-Yan, Jin Tian-Li. Weak signal estimation in chaotic clutter using wavelet analysis and symmetric LS-SVM regression. Acta Physica Sinica,
2010, 59(1): 140-146.
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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.
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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.
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2007, 56(12): 6820-6827.
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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.
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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.
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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.
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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.
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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.
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Luo Xiao-Shu, Chen Guan-Rong, Wang Bing-Hong, Fang Jin-Qing, Zou Yan-Li, Quan Hong-Jun. Control of period-doubling bifurcation and chaos in a discrete nonlinear system by the feedback of states and parameter adjustment. Acta Physica Sinica,
2003, 52(4): 790-794.
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