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Predicted novel insulating electride compound between alkali metals lithium and sodium under high pressure |
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Link prediction in complex networks via modularity-based belief propagation |
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Entropy-based link prediction in weighted networks |
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Application of the nonlinear time series prediction method of genetic algorithm for forecasting surface wind of point station in the South China Sea with scatterometer observations |
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Chin. Phys. B
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Complementary method to locate atomic coordinates by combined searching method of structure-sensitive indexes based on bond valence method |
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New crystal structure and physical properties of TcB from first-principles calculations |
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Chin. Phys. B
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Extra-seasonal prediction of summer 500-hPa height field in the area of cold vortices over East Asia with a dynamical-statistical method |
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Hu Shu-Juan (胡淑娟), Qiu Chun-Yu (邱春雨), Zhang Li-Yun (张利云), Huang Qi-Can (黄启灿), Yu Hai-Peng (于海鹏), Chou Ji-Fan (丑纪范) |
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An approach to estimating and extrapolating model error based on inverse problem methods：towards accurate numerical weather prediction |
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Chin. Phys. B
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78701 |
Shi Ya-Zhou (时亚洲), Wu Yuan-Yan (吴园燕), Wang Feng-Hua (王凤华), Tan Zhi-Jie (谭志杰) |
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RNA structure prediction：Progress and perspective |
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Chin. Phys. B
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Predicting extreme rainfall over eastern Asia by using complex networks |
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Chin. Phys. B
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Chen Yuan-Zheng (陈元正), Zhou Mi (周密), Sun Mei-Jiao (孙美娇), Li Zuo-Wei (里佐威), Sun Cheng-Lin (孙成林) |
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High-pressure-activated carbon tetrachloride decomposition |
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Chin. Phys. B
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58902 |
Shen Yi (沈毅) |
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An adaptive strategy based on linear prediction of queue length to minimize congestion in Barabási-Albert scale-free networks |
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Chin. Phys. B
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50502 |
Zhang Yong (张勇) |
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New predication of chaotic time series based on local Lyapunov exponent |
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Chin. Phys. B
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Zhang Mei-Guang(张美光), Yan Hai-Yan(闫海燕), Zhang Gang-Tai(张刚台), and Wang Hui(王晖) |
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The ground-state structure and physical properties of RuC: first-principles calculations |
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Chin. Phys. B
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26102 |
Liu Huan-Huan(刘欢欢) and Liu Yan-Hui(刘艳辉) |
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High-pressure structures of InBi predicted by particle swarm optimization algorithm |
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Chin. Phys. B
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Wu Xue-Dong(伍雪冬), Wang Yao-Nan(王耀南), Liu Wei-Ting(刘维亭), and Zhu Zhi-Yu(朱志宇) |
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Generalized unscented Kalman filtering based radial basis function neural network for the prediction of ground radioactivity time series with missing data |
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Chin. Phys. B
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58701 |
Qi Jian-Xun(齐建勋) and Jiang Fan(江凡) |
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The balance of flexibility and rigidity in the active site residues of hen egg white lysozyme |
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Chin. Phys. B
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128902 |
Bai Meng(白萌), Hu Ke(胡柯), and Tang Yi(唐翌) |
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Link prediction based on a semi-local similarity index |
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Chin. Phys. B
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70505 |
Wang Teng (王腾), Gao Xiang-Dong (高向东), Li Wei (李炜) |
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Characterisation of the plasma density with two artificial neural network models |
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Chin. Phys. B
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Yan Hua(闫华), Wei Ping(魏平), and Xiao Xian-Ci(肖先赐) |
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A method to improve the precision of chaotic time series prediction by using a non-trajectory |
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Chin. Phys. B
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Zheng Yong-Zhen(郑永真), Qiu Ying(邱银), Zhang Peng(张鹏),Huang Yuan(黄渊), Cui Zheng-Ying(崔正英),Sun Ping(孙平), and Yang Qing-Wei(杨青巍) |
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Mitigation and prediction of disruption on the HL-2A Tokamak |
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Chin. Phys. B
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Sun Han-Lin(孙韩林), Jin Yue-Hui(金跃辉), Cui Yi-Dong(崔毅东),and Cheng Shi-Duan(程时端) |
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Network traffic prediction by a wavelet-based combined model |
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Wu Xue-Dong(伍雪冬) and Song Zhi-Huan(宋执环) |
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GEKF, GUKF and GGPF based prediction of chaotic time-series with additive and multiplicative noises |
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Ding Gang(丁刚), Zhong Shi-Sheng(钟诗胜), and Li Yang(李洋) |
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Time series prediction using wavelet process neural network |
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Multi-step-prediction of chaotic time series based on co-evolutionary recurrent neural network |
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Chin. Phys. B
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Meng Qing-Fang(孟庆芳), Peng Yu-Hua(彭玉华), and Xue Pei-Jun(薛佩军) |
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A new method of determining the optimal embedding dimension based on nonlinear prediction |
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Wang Hao(王灏), Wang Ai-Ke(王爱科), Yang Qing-Wei(杨青巍), Ding Xuan-Tong(丁玄同), Dong Jia-Qi(董家齐), Sanuki H, and Itoh K |
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HL-2A tokamak disruption forecasting based on an artificial neural network |
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Chin. Phys. B
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3262 |
Sun Jian-Cheng(孙建成) |
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Prediction of chaotic time series based on modified minimax probability machine regression |
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Chin. Phys. B
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3220 |
Meng Qing-Fang(孟庆芳), Peng Yu-Hua(彭玉华), and Sun Jia(孙佳) |
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The improved local linear prediction of chaotic time series |
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2007 Vol.16 (11): 3220-3225
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1196 |
Liu Han (刘涵), Liu Ding (刘丁), Deng Ling-Feng (邓凌峰) |
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Chaotic time series prediction using fuzzy sigmoid kernel-based support vector machines |
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2006 Vol.15 (6): 1196-1200
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882 |
Gao Li (高丽), Ren Hong-Li (任宏利), Li Jian-Ping (李建平), Chou Ji-Fan (丑纪范) |
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Analogue correction method of errors and its application to numerical weather prediction |
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2006 Vol.15 (4): 882-889
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628 |
Wan Shi-Quan (万仕全), Feng Guo-Lin (封国林), Dong Wen-Jie (董文杰), Li Jian-Ping (李建平), Gao Xin-Quan (高新全), He Wen-Ping (何文平) |
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On the climate prediction of nonlinear and non-stationary time series with the EMD method |
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2365 |
Sheng Yue-Biao (盛乐标), Li Jing (李菁), Ma Bao-Liang (马保亮), Wang Wei (王炜) |
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Functional structures and folding dynamics of two peptides |
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Chin. Phys. B
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49 |
Zhang Jia-Shu (张家树), Li Heng-Chao (李恒超), Xiao Xian-Ci (肖先赐) |
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Local discrete cosine transformation domain Volterra prediction of chaotic time series |
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Chin. Phys. B
2005 Vol.14 (1): 49-54
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948 |
Zhang Guo-Qiang (张国强), Guo Qi (郭旗), Erkin (艾尔肯), Lu Wu (陆妩), Ren Di-Yuan (任迪远) |
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A novel technique for predicting ionizing radiation effects of commercial MOS devices |
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633 |
Bian Chun-Hua (卞春华), Ning Xin-Bao (宁新宝) |
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Determining the minimum embedding dimension of nonlinear time series based on prediction method |
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2004 Vol.13 (5): 633-636
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454 |
Ye Mei-Ying (叶美盈), Wang Xiao-Dong (汪晓东) |
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Chaotic time series prediction using least squares support vector machines |
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2004 Vol.13 (4): 454-458
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413 |
Feng Guo-Lin (封国林), Dong Wen-Jie (董文杰), Jia Xiao-Jing (贾晓静) |
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Application of retrospective time integration scheme to the prediction of torrential rain |
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594 |
Zhang Sheng (张胜), Liu Hong-Xing (刘红星), Gao Dun-Tang (高敦堂), Du Si-Dan (都思丹) |
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Determining the input dimension of a neural network for nonlinear time series prediction |
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1076 |
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Evaluation of the applicability of a retrospective scheme based on comparison with several difference schemes |
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