| [1] |
Zhou Wen-Li, Zhuo Wei-Wei, Jiang Yi-Ran, Ma Wen-Jie, Dong Bao-Jun. Neural network prediction of cooling heat transfer characteristics of supercritical R1234ze(E) in horizontal tube. Acta Physica Sinica,
2024, 73(12): 120702.
doi: 10.7498/aps.73.20240283
|
| [2] |
Lou Yue-Shen, Guo Wen-Jun. Prediction of unknown nuclear stability by Bayesian deep neural network. Acta Physica Sinica,
2022, 71(10): 102101.
doi: 10.7498/aps.71.20212387
|
| [3] |
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
|
| [4] |
Wang Chen-Yang, Duan Qian-Qian, Zhou Kai, Yao Jing, Su Min, Fu Yi-Chao, Ji Jun-Yang, Hong Xin, Liu Xue-Qin, Wang Zhi-Yong. A hybrid model for photovoltaic power prediction of both convolutional and long short-term memory neural networks optimized by genetic algorithm. Acta Physica Sinica,
2020, 69(10): 100701.
doi: 10.7498/aps.69.20191935
|
| [5] |
Yuan Lin, Yang Xue-Song, Wang Bing-Zhong. Prediction of time reversal channel with neural network optimized by empirical knowledge based genetic algorithm. Acta Physica Sinica,
2019, 68(17): 170503.
doi: 10.7498/aps.68.20190327
|
| [6] |
Peng Xiang-Kai, Ji Jing-Wei, Li Lin, Ren Wei, Xiang Jing-Feng, Liu Kang-Kang, Cheng He-Nan, Zhang Zhen, Qu Qiu-Zhi, Li Tang, Liu Liang, Lü De-Sheng. Online learning method based on artificial neural network to optimize magnetic shielding characteristic parameters. Acta Physica Sinica,
2019, 68(13): 130701.
doi: 10.7498/aps.68.20190234
|
| [7] |
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
|
| [8] |
Wei De-Zhi, Chen Fu-Ji, Zheng Xiao-Xue. Internet public opinion chaotic prediction based on chaos theory and the improved radial basis function in neural networks. Acta Physica Sinica,
2015, 64(11): 110503.
doi: 10.7498/aps.64.110503
|
| [9] |
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
|
| [10] |
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
|
| [11] |
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
|
| [12] |
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
|
| [13] |
Ding Gang, Zhong Shi-Sheng. Sunspot number prediction based on process neural network with time-varying threshold functions. Acta Physica Sinica,
2007, 56(2): 1224-1230.
doi: 10.7498/aps.56.1224
|
| [14] |
Wang Rui-Min, Zhao Hong. The role of neuron transfer function in artificial neural networks. Acta Physica Sinica,
2007, 56(2): 730-739.
doi: 10.7498/aps.56.730
|
| [15] |
Hu Yu-Xia, Gao Jin-Feng. A neuro-fuzzy method for predicting the chaotic time series. Acta Physica Sinica,
2005, 54(11): 5034-5038.
doi: 10.7498/aps.54.5034
|
| [16] |
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
|
| [17] |
Cui Wan-Zhao, Zhu Chang-Chun, Liu Jun-Hua. Wavelet neural networks model on threshold electric field of field emission from thin films. Acta Physica Sinica,
2004, 53(5): 1583-1587.
doi: 10.7498/aps.53.1583
|
| [18] |
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
|
| [19] |
HE GUO-GUANG, CAO ZHI-TONG. CONTROLLING CHAOS IN CHAOTIC NEURAL NETWORK. Acta Physica Sinica,
2001, 50(11): 2103-2107.
doi: 10.7498/aps.50.2103
|
| [20] |
MA YU-QIANG, ZHANG YUE-MING, GONG CHANG-DE. RETRIEVAL PROPERTIES OF HOPFIELD NEURAL NETWORK MODELS. Acta Physica Sinica,
1993, 42(8): 1356-1360.
doi: 10.7498/aps.42.1356
|
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