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Xie Yu, Zhao Chun-Xia, Zhang Hao-Feng, Yan Xue-Jun, Chen De-Bao.A blending crossover differential evolution approach to camera space manipulation parameter optimization. Acta Physica Sinica, 2015, 64(2): 020701.doi:10.7498/aps.64.020701 |
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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 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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Ma Qing-Lu, Liu Wei-Ning, Sun Di-Hua.Multi-parameter fusion applied to road traffic condition forecasting. Acta Physica Sinica, 2012, 61(16): 169501.doi:10.7498/aps.61.169501 |
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Cao Xiao-Qun, Song Jun-Qiang, Zhang Wei-Min, Zhao Jun, Zhang Li-Lun.Estimating parameters of chaotic system with variational method. Acta Physica Sinica, 2011, 60(7): 070511.doi:10.7498/aps.60.070511 |
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Zhang Chun-Tao, Ma Qian-Li, Peng Hong, Jiang You-Yi.Multivariate chaotic time series phase space reconstruction based on extending dimension by conditional entropy. Acta Physica Sinica, 2011, 60(2): 020508.doi:10.7498/aps.60.020508 |
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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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Wu Hao, Zhu Tuo, Kong Yan, Chen Wei, Yang Jian-Lei.Application of fluorescence spectra based on radial basis function neural network in identification of bacteria. Acta Physica Sinica, 2010, 59(4): 2396-2400.doi:10.7498/aps.59.2396 |
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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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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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Chen Zheng, Zeng Yi-Cheng, Fu Zhi-Jian.A novel parameter estimation method of signal in chaotic background. Acta Physica Sinica, 2008, 57(1): 46-50.doi:10.7498/aps.57.46 |
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Cong Rui, Liu Shu-Lin, Ma Rui.An approach to phase space reconstruction from multivariate data based on data fusion. Acta Physica Sinica, 2008, 57(12): 7487-7493.doi:10.7498/aps.57.7487 |
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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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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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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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Xiao Fang-Hong, Yan Gui-Rong, Han Yu-Hang.Information theory approach to determine embedding parameters for phase space reconstruction of chaotic time series. Acta Physica Sinica, 2005, 54(2): 550-556.doi:10.7498/aps.54.550 |
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You Rong-Yi, Chen Zhong, Xu Shen-Chu, Wu Bo-Xi.Study on phase-space reconstruction of chaotic signal based on wavelet transform. Acta Physica Sinica, 2004, 53(9): 2882-2888.doi:10.7498/aps.53.2882 |
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Guo Hui－Jun, Liu Jun_Hua.Chaos control of Lorenz system via RBF neuralnetwork sliding mode controller. Acta Physica Sinica, 2004, 53(12): 4080-4086.doi:10.7498/aps.53.4080 |
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Liu Ding, Ren Hai-Peng, Kong Zhi-Qiang.Control of chaos solely based on RBF neural network without an analytical model. Acta Physica Sinica, 2003, 52(3): 531-535.doi:10.7498/aps.52.531 |
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Yang Shao-Qing, Jia Chuan-Ying.. Acta Physica Sinica, 2002, 51(11): 2452-2458.doi:10.7498/aps.51.2452 |
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