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A new chaotic Hopfield network with piecewise linear activation function |
Zheng Peng-Sheng(郑鹏升), Tang Wan-Sheng(唐万生)†, and Zhang Jian-Xiong(张建雄) |
Institute of Systems Engineering, Tianjin University, Tianjin 300072, China |
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Abstract This paper presents a new chaotic Hopfield network with a piecewise linear activation function. The dynamic of the network is studied by virtue of the bifurcation diagram, Lyapunov exponents spectrum and power spectrum. Numerical simulations show that the network displays chaotic behaviours for some well selected parameters.
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Received: 08 June 2009
Revised: 08 July 2009
Accepted manuscript online:
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PACS:
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05.45.Pq
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(Numerical simulations of chaotic systems)
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07.05.Mh
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(Neural networks, fuzzy logic, artificial intelligence)
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Fund: Project partially supported by the
China Postdoctoral Science Foundation (Grant No.~20060400705) and
Tianjin University Research Foundation (Grant No.~TJU-YFF-08B06). |
Cite this article:
Zheng Peng-Sheng(郑鹏升), Tang Wan-Sheng(唐万生), and Zhang Jian-Xiong(张建雄) A new chaotic Hopfield network with piecewise linear activation function 2010 Chin. Phys. B 19 030514
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[1] |
Guevara M R, Glass L, Mackey M C and Shrier A 1983 IEEE Trans. Syst. Man Cy. 13 790
|
[2] |
Babloyantz A and Lourenco C 1996 Int. J. Neural Syst. 7 461
|
[3] |
Freeman W J 1991 Sci. Am. 264 78
|
[4] |
Yao Y and Freeman W J 1990 Neural Networks 3 153
|
[5] |
Bersini H 1998 Neural Networks 11 1017
|
[6] |
Bersini H and Sener P 2002 Neural Networks 15 1197
|
[7] |
Li Q D, Yang X S and Yang F Y 2005 Neurocomputing 67 275
|
[8] |
Huang Y and Yang X S 2006 Neurocomputing 69 1787
|
[9] |
Wang S, Cai L, Kang Q, Wu G and Li Q 2008 Chin. Phys. B 17 2837
|
[10] |
Yang X S and Yuan Q 2005 Neurocomputing 69 232
|
[11] |
Yang X S and Huang Y 2006 Chaos 16 033114
|
[12] |
Yang X S and Li Q D 2006 Int. J. Bifurcat. Chaos 16 157
|
[13] |
Huang W Z and Huang Y 2008 Appl. Math. C 206 1
|
[14] |
Zou F and Nossek J A 1993 IEEE Trans. Circuits Syst. 40 166
|
[15] |
Yang X S and Huang Y 2007 Int. J. Bifurcat. Chaos 17 953
|
[16] |
Yang X S and Li Q D 2007 Int. J. Bifurcat. Chaos 17 3211
|
[17] |
Yang X S and Yuan Q 2008 Int. J. Bifurcat. Chaos 18 1337
|
[18] |
Cao J and Lu J 2006 Chaos 16 013133
|
[19] |
Cheng C, Liao T and Hwang C 2005 Chaos, Solitons and Fractals 24 197
|
[20] |
Zhu W, Xu D and Huang Y 2008 Chaos, Solitons and Fractals 35 904
|
[21] |
Wang M S, Hou Z H and Xin H W 2006 Chin. Phys. 15 2553
|
[22] |
Wu W and Cui B T 2007 Chin. Phys. 16 1889
|
[23] |
He G G, Zhu P, Chen H P and Cao Z T 2006 Acta Phys. Sin. 55 1040 (in Chinese)
|
[24] |
Lou X Y and Cui B T 2008 Chin. Phys. B 17 520
|
[25] |
Zhang Q 2008 Chin. Phys. B 17 125
|
[26] |
Gao M and Cui B T 2009 Chin. Phys. B 18 76
|
[27] |
Tan W, Wang Y, Zeng Z, Huang D and Zhou S 2004 Chin. Phys. 13 459
|
[28] |
Qi W and Wang Y 2009 Chin. Phys. B 18 1404
|
[29] |
Hopfield J J 1982 Proc. Natl. Acad. Sci. USA 79 2554
|
[30] |
Hopfield J J 1984 Proc. Natl. Acad. Sci. USA 81 3088
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