[1] |
Huang Wei-Jian, Li Yong-Tao, Huang Yuan. Prediction of chaotic time series using hybrid neural network and attention mechanism. Acta Physica Sinica,
2021, 70(1): 010501.
doi: 10.7498/aps.70.20200899
|
[2] |
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] |
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
|
[6] |
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
|
[7] |
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
|
[8] |
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
|
[9] |
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
|
[10] |
Feng Jian, Liu Jin-Hai, Zhang Hua-Guang. Real-time novelty detector of chaotic time series based on retina neural network. Acta Physica Sinica,
2010, 59(7): 4472-4479.
doi: 10.7498/aps.59.4472
|
[11] |
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
|
[12] |
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
|
[13] |
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
|
[14] |
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
|
[15] |
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
|
[16] |
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
|
[17] |
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
|
[18] |
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
|
[19] |
Wang Hong-Wei, Ma Guang-Fu. Prediction of chaotic time series based on fuzzy model. Acta Physica Sinica,
2004, 53(10): 3293-3297.
doi: 10.7498/aps.53.3293
|
[20] |
Tan Wen, Wang Yao-Nan, Zhou Shao-Wu, Liu Zu-Run. Prediction of the chaotic time series using neuro-fuzzy networks. Acta Physica Sinica,
2003, 52(4): 795-801.
doi: 10.7498/aps.52.795
|