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Highly Cited

2018

Highly Cited

2018

Abstract This paper mainly studies the finite-time stability and synchronization problems of memristor-based fractional-order… Expand

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2017

2017

We have developed a cellular neural network formed by simplified processing elements composed of thin-film transistors. First, we… Expand

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2016

2016

This paper presents a new way of image encryption based on biologic DNA sequence operations and Cellular Neural Network (CNN… Expand

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Highly Cited

2012

Highly Cited

2012

In this paper, a fractional-order four-cell cellular neural network is proposed and the complex dynamical behaviors of such a… Expand

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Highly Cited

2011

Highly Cited

2011

Fuzzy cellular neural network (FCNN) structures are based on the uncertainties in human cognitive processes and in modeling… Expand

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Highly Cited

2009

Highly Cited

2009

In this paper, we design a cellular automaton and a discrete-time cellular neural network (DTCNN) using nonlinear passive… Expand

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Highly Cited

2009

Highly Cited

2009

In this paper, we design a cellular automaton and a discrete-time cellular neural network (DTCNN) using nonlinear passive… Expand

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Highly Cited

1995

Highly Cited

1995

A new realisation for the Saito hysteresis chaos generator (SHCG) is derived from a suitable connection of four generalised… Expand

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Highly Cited

1992

Highly Cited

1992

The cellular neural network (CNN) paradigm is a powerful framework for analogue non-linear processing arrays placed on a regular… Expand

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Highly Cited

1990

Highly Cited

1990

The cellular neural network (CNN) paradigm is a powerful framework for analog nonlinear processing arrays placed on a regular… Expand

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