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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 |
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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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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 |
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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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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 |
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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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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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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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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 |
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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 |
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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 |
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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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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 |
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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 |