[1] |
Wang Meng-Jiao, Yang Chen, He Shao-Bo, Li Zhi-Jun. A novel compound exponential locally active memristor coupled Hopfield neural network. Acta Physica Sinica,
2024, 73(13): 130501.
doi: 10.7498/aps.73.20231888
|
[2] |
Wei Lian-Suo, Li Hua, Wu Di, Guo Yuan. Clock synchronization error compensation algorithm based on BP neural network model. Acta Physica Sinica,
2021, 70(11): 114203.
doi: 10.7498/aps.70.20201641
|
[3] |
Zhou Jing, Zhang Xiao-Fang, Zhao Yan-Geng. Phase retrieval wavefront sensing based on image fusion and convolutional neural network. Acta Physica Sinica,
2021, 70(5): 054201.
doi: 10.7498/aps.70.20201362
|
[4] |
Li Ru-Yi, Wang Guang-Yi, Dong Yu-Jiao, Zhou Wei. Multi-frequency sinusoidal chaotic neural network and its complex dynamics. Acta Physica Sinica,
2020, 69(24): 240501.
doi: 10.7498/aps.69.20200725
|
[5] |
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
|
[6] |
Guo Ye-Cai, Zhou Lin-Feng. Study of anisotropic diffusion model based on pulse coupled neural network and image entropy. Acta Physica Sinica,
2015, 64(19): 194204.
doi: 10.7498/aps.64.194204
|
[7] |
Zhang Xu-Dong, Zhu Ping, Xie Xiao-Ping, He Guo-Guang. A dynamic threshold value control method for chaotic neural networks. Acta Physica Sinica,
2013, 62(21): 210506.
doi: 10.7498/aps.62.210506
|
[8] |
Li Cheng, Shi Dan, Zou Yun-Ping. A feedback neural network with weights of sinusoidal functions. Acta Physica Sinica,
2012, 61(7): 070701.
doi: 10.7498/aps.61.070701
|
[9] |
Li Pan-Chi, Wang Hai-Ying, Dai Qing, Xiao Hong. Quantum process neural networks model algorithm and applications. Acta Physica Sinica,
2012, 61(16): 160303.
doi: 10.7498/aps.61.160303
|
[10] |
Zhang Yun, Zhang Zhi-Yong, Yu Shu-Juan. Blind detection of M-ary quaternary phase shift keying signals by a complex Hopfield neural network with amplitude-phase-type hard-multistate-activation-function. Acta Physica Sinica,
2012, 61(14): 140701.
doi: 10.7498/aps.61.140701
|
[11] |
Zhang Yun, Zhang Zhi-Yong. Blind detection algorithm of complex multi-valued discrete Hopfield network. Acta Physica Sinica,
2011, 60(9): 090703.
doi: 10.7498/aps.60.090703
|
[12] |
Zheng Hong-Yu, Luo Xiao-Shu, Wu Lei. Excitement and optimality properties of small-world biological neural networks with updated weights. Acta Physica Sinica,
2008, 57(6): 3380-3384.
doi: 10.7498/aps.57.3380
|
[13] |
Yu A-Long. Research on the amplitude frequency characteristics compensation based on wavelet neural network for vibration velocity transducer. Acta Physica Sinica,
2007, 56(6): 3166-3171.
doi: 10.7498/aps.56.3166
|
[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] |
Xiong Tao, Zhang Bian-Li, Chang Sheng-Jiang, Shen Jin-Yuan, Zhang Yan-Xin. A multiple input-queued ATM switching fabric based on hopfield neural network cell scheduling. Acta Physica Sinica,
2005, 54(5): 2435-2440.
doi: 10.7498/aps.54.2435
|
[16] |
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
|
[17] |
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
|
[18] |
Cai Li, Ma Xi-Kui, Wang Sen. Study of hyperchaotic behavior in quantum cellular neural networks. Acta Physica Sinica,
2003, 52(12): 3002-3006.
doi: 10.7498/aps.52.3002
|
[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] |
CHANG SHENG-JIANG, LIU YUE, ZHANG WEN-WEI, SHEN JIN-YUAN, ZHAI HONG-CHEN, ZHANG YAN-XIN. A NEURAL NETWORK MODEL FOR UNEQUALLY DISTRIBUTED NEURON STATES AND ITS OPTICAL IMPLEMENTATION. Acta Physica Sinica,
1998, 47(7): 1101-1109.
doi: 10.7498/aps.47.1101
|