Results 251 to 260 of about 145,797 (288)
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2007
The parametrically coupled map lattice (PCML) exhibits many interesting dynamical behaviors that are reminiscent of the adaptation and the learning of the neural network. In order for the PCML to be a model of the neural network, however, it is necessary to identify the biological counterpart of one-dimensional maps that constitute the PCML. One of the
Lee, G Lee, Geehyuk, Yi, GS Yi, Gwan-Su
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The parametrically coupled map lattice (PCML) exhibits many interesting dynamical behaviors that are reminiscent of the adaptation and the learning of the neural network. In order for the PCML to be a model of the neural network, however, it is necessary to identify the biological counterpart of one-dimensional maps that constitute the PCML. One of the
Lee, G Lee, Geehyuk, Yi, GS Yi, Gwan-Su
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Mechanism of multistability in chaotic maps
Chaos: An Interdisciplinary Journal of Nonlinear ScienceThis research aims to investigate the mechanisms of multistability in chaotic maps. The study commences by examining the fundamental principles governing the development of homogeneous multistability using a basic one-dimensional chain-climbing map. Findings suggest that the phase space can be segmented into distinct uniform mediums where particles ...
Jin Liu, Kehui Sun, Huihai Wang
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Chaotic synchronization of coupled ergodic maps
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2001With few exceptions, studies of chaotic synchronization have focused on dissipative chaos. Though less well known, chaotic systems that lack dissipation may also synchronize. Motivated by an application in communication systems, we couple a family of ergodic maps on the N-torus and study the global stability of the synchronous state.
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Chaotic boundary of a Hamiltonial map
Physica D: Nonlinear Phenomena, 1982zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Nonlinear Analysis: Theory, Methods & Applications, 2001
S. LENCI, LUPINI, RENZO
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S. LENCI, LUPINI, RENZO
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Chaotic Synchronization of Maps
2011In chapter 3, the concept of chaotic synchronization was introduced on flows, as is most often done in the literature [1]. However, the principles of chaotic synchronization presented in sections 3.1 and 3.2 [1] are also equally applicable to chaotic maps [2]. In contrast to section 3.4 [1], this chapter proposes a method of designing nonlinear control
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Designing 1D Chaotic Maps for Fast Chaotic Image Encryption
Electronics (Switzerland), 2021Mustafa Kamil Khairullah +2 more
exaly