Results 251 to 260 of about 20,266 (306)

A novel 1D powered Chebyshev quadratic map-based image encryption using dynamic permutation-diffusion. [PDF]

Sci Rep
Sarra B, Sun H, Dua M, Dua S, Dhingra D.
europepmc   +1 more source

Visually meaningful image encryption using convolution neural networks. [PDF]

Sci Rep
Himthani V, Hemrajani P, Kumar A.
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Analysis, control, and forecasting the dynamics of SIRD models with saturated treatment and nonlinear incidence. [PDF]

Sci Rep
Elsonbaty A, Ramaswamy R, Padmaja S, Teklu SW, Abdelkawy MA, El-Mesady A.   +5 more
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Decrypting chaotic visual ciphers via quasi quantum neural networks (Q²NNs). [PDF]

Sci Rep
Manavalan G, Arnon S.
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Modified Chaotic Hénon Map-Based Text Information Encryption and Hiding Mechanism Using Bottlenose Dolphin Vocalizations. [PDF]

Sensors (Basel)
Lin CF, Hsieh CL, Chang SH, Parinov IA, Shevtsov S.   +4 more
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The Chaotic Netlet Map

, 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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CONSTRUCTING CHAOTIC POLYNOMIAL MAPS

International Journal of Bifurcation and Chaos, 2009
This paper studies the construction of one-dimensional real chaotic polynomial maps. Given an arbitrary nonzero polynomial of degree m (≥ 0), two methods are derived for constructing chaotic polynomial maps of degree m + 2 by simply multiplying the given polynomial with suitably designed quadratic polynomials.
Xu Zhang 0005, Yuming Shi, Guanrong Chen
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CHAOTIC CONTROL OF LOGISTIC MAP

Modern Physics Letters B, 2008
With the occasional feedback method, the chaotic logistic map is stabilized at an unstable low-periodic orbit. In our method, the qualified feedback coefficient can be obtained through calculation instead of through simulation. Besides, the bifurcation control of the logistic map is studied, and a new scheme is proposed to change the parameter value of
Wang, Xingyuan, Wang, Mingjun
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The chaotic self-organizing map

Proceedings 1993 The First New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems, 2002
A chaotic self-organizing map can be produced by replacing the linear neural units of the conventional self-organizing map with neural units capable of producing chaos. The introduction of chaos into the self-organizing map is shown to improve the ability of the network to cluster input patterns. >
Alison A. Dingle, John H. Andreae, Richard D. Jones   +2 more
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