[1] |
Zhang Yi-Jun, Mu Xiao-Dong, Guo Le-Meng, Zhang Peng, Zhao Dao, Bai Wen-Hua. A support vector machine training scheme based on quantum circuits. Acta Physica Sinica,
2023, 72(7): 070302.
doi: 10.7498/aps.72.20222003
|
[2] |
Zuo Juan-Li, Yang Hong, Wei Bing-Qian, Hou Jing-Ming, Zhang Kai. Numerical simulation of gas-liquid two-phase flow in gas lift system. Acta Physica Sinica,
2020, 69(6): 064705.
doi: 10.7498/aps.69.20191755
|
[3] |
Li Yong-Ming, Wang Liang, Chen Xiang-Lin, Ruan Nian-Shou, Zhao De-Shan. Regression analysis of coincidence measurements for determinating the neutron emission rate of 252Cf spontaneous fission. Acta Physica Sinica,
2018, 67(24): 242901.
doi: 10.7498/aps.67.20181073
|
[4] |
Song Kun, Gao Tai-Chang, Liu Xi-Chuan, Yin Min, Xue Yang. Method and experiment of rainfall intensity inversion using a microwave link based on support vector machine. Acta Physica Sinica,
2015, 64(24): 244301.
doi: 10.7498/aps.64.244301
|
[5] |
Zhao Zhi-Gang, Zhang Chun-Jie, Gou Xiang-Feng, Sang Hu-Tang. Solar cell temperature prediction model of support vector machine optimized by particle swarm optimization algorithm. Acta Physica Sinica,
2015, 64(8): 088801.
doi: 10.7498/aps.64.088801
|
[6] |
Meng Qing-Fang, Chen Shan-Shan, Chen Yue-Hui, Feng Zhi-Quan. Automatic detection of epileptic EEG based on recurrence quantification analysis and SVM. Acta Physica Sinica,
2014, 63(5): 050506.
doi: 10.7498/aps.63.050506
|
[7] |
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
|
[8] |
Yu Yang, Hao Zhong-Qi, Li Chang-Mao, Guo Lian-Bo, Li Kuo-Hu, Zeng Qing-Dong, Li Xiang-You, Ren Zhao, Zeng Xiao-Yan. Identification of plastics by laser-induced breakdown spectroscopy combined with support vector machine algorithm. Acta Physica Sinica,
2013, 62(21): 215201.
doi: 10.7498/aps.62.215201
|
[9] |
Wang Fang-Fang, Zhang Ye-Rong. An electromagnetic inverse scattering approach based on support vector machine. Acta Physica Sinica,
2012, 61(8): 084101.
doi: 10.7498/aps.61.084101
|
[10] |
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.
doi: 10.7498/aps.61.240504
|
[11] |
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
|
[12] |
Wen Yu-Feng, Cai Cong-Zhong, Pei Jun-Fang, Zhu Xing-Jian, Xiao Ting-Ting, Wang Gui-Lian. Study on the influence of process parameters on the synthesis of AlON-TiN composites by using support vector regression. Acta Physica Sinica,
2009, 58(13): 15-S20.
doi: 10.7498/aps.58.15
|
[13] |
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
|
[14] |
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
|
[15] |
. 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
|
[16] |
Tang Rong-Rong. Analysis of evolution and life-time of the plasma channel produced by ultra-stort ultra-high power laser pulse. Acta Physica Sinica,
2006, 55(2): 494-498.
doi: 10.7498/aps.55.494
|
[17] |
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
|
[18] |
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
|
[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] |
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
|