Chaos and asymptotical stability in discrete-time neural networks
نویسندگان
چکیده
منابع مشابه
Chaos and Asymptotical Stability in Discrete-time Neural Networks
2 Abstract This paper aims to theoretically prove by applying Marotto’s Theorem that both transiently chaotic neural networks (TCNN) and discrete-time recurrent neural networks (DRNN) have chaotic structure. A significant property of TCNN and DRNN is that they have only one fixed point, when absolute values of the self-feedback connection weights in TCNN and the difference time in DRNN are suff...
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ژورنال
عنوان ژورنال: Physica D: Nonlinear Phenomena
سال: 1997
ISSN: 0167-2789
DOI: 10.1016/s0167-2789(96)00302-8