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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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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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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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Zhang Guo-Yong, Wu Yong-Gang, Zhang Yang, Dai Xian-Liang.A simple model for probabilistic interval forecasts of wind power chaotic time series. Acta Physica Sinica, 2014, 63(13): 138801.doi:10.7498/aps.63.138801 |
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Zhang Wen-Chao, Tan Si-Chao, Gao Pu-Zhen.The identification and forecasting of chaos for natural circulation flow instabilities under rolling motion. Acta Physica Sinica, 2013, 62(14): 144706.doi:10.7498/aps.62.144706 |
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Zhang Xue-Qing, Liang Jun.Chaotic time series prediction model of wind power based on ensemble empirical mode decomposition-approximate entropy and reservoir. Acta Physica Sinica, 2013, 62(5): 050505.doi:10.7498/aps.62.050505 |
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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 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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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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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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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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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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Liu Fu-Cai, Sun Li-Ping, Liang Xiao-Ming.Prediction of chaotic time series based on hierarchical fuzzy-clustering. Acta Physica Sinica, 2006, 55(7): 3302-3306.doi:10.7498/aps.55.3302 |
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Li Jun, Liu Jun-Hua.On the prediction of chaotic time series using a new generalized radial basis function neural networks. Acta Physica Sinica, 2005, 54(10): 4569-4577.doi:10.7498/aps.54.4569 |
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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.doi:10.7498/aps.54.3009 |
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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.doi:10.7498/aps.53.3303 |
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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 |
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