Cellular neural networks
Dynamical Analysis of Fuzzy Cellular Neural Networks with Periodic Coefficients and Time-varying Delays
... fuzzy neural network (see [27], ...into cellular neural ...fuzzy cellular neural networks (FCNNs) combining those opera- tions with cellular neural ...fuzzy ...
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New proof on exponential convergence for cellular neural networks with time-varying delays
... considered neural networks converge exponentially to the zero equilibrium ...for cellular neural networks plays an important role in designing the cellular neural ...
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Matrix Measure Strategies for Stability of Cellular Neural Networks with Proportional Delays
... Abstract—This paper is concerned with cellular neural net- works with proportional delays. The proportional delay is a time-varying unbounded delay which is different from the con- stant delay, bounded ...
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Periodic solutions for stochastic shunting inhibitory cellular neural networks with distributed delays
... of neural dynamical systems not only involve a discussion of the stability properties, but they also involve many other dynamic behaviors such as periodic oscillatory behavior and so ...stochastic neural ...
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Brain Image Segmentation Using Multistable Cellular Neural Networks
... Abstract: This study proposes a new method on “brain image segmentation”. Algorithm is based on the Multistable Cellular Neural Networks (Multistable-CNN). Evaluations are performed on well-known ...
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The p th moment exponential stability of stochastic cellular neural networks with impulses
... This paper studies the pth moment exponential stability of stochastic cellular neural networks with time-varying delays under impulsive perturbations. Based on the Lyapunov function, Razumikhin ...
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Exponential stability for fuzzy BAM cellular neural networks with distributed leakage delays and impulses
... This paper is concerned with a class of fuzzy BAM cellular neural networks with distributed leakage delays and impulses. By applying differential inequality techniques, we establish some sufficient ...
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Periodic solutions for quaternion valued fuzzy cellular neural networks with time varying delays
... In this paper, quaternion-valued fuzzy cellular neural networks (QVFCNNs) with time-varying delays are considered. First, we decompose QVFCNNs into their equivalent real-valued systems according to ...
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Anti periodic solutions for high order cellular neural networks with mixed delays and impulses
... The purpose of this paper is to present sufficient conditions of existence and exponen- tial stability of anti-periodic solution of system (.). Not only can our results be applied directly to many concrete examples of ...
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Dynamical analysis of fuzzy cellular neural networks with time-varying delays
... In this paper, we have studied the existence, and exponential stability of the periodic solution for fuzzy cellular neural networks with time-varying delays. Some sufficient conditions set up here ...
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Cellular Neural Networks for NP-Hard Optimization
... that cellular neural networks (CNNs) show good perspectives for fast NP-hard ...of cellular wave computing [2], and the CNN paradigm [3], relative to quantum computing is that several ...
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Almost Periodic Solutions for Shunting Inhibitory Cellular Neural Networks with Time-varying and Distributed Delays
... Abstract. In this paper, shunting inhibitory cellular neural networks (SICNNs) with time- varying and distributed delays are considered. Without assuming the global Lipschitz condi- tions of ...
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Cellular neural networks for motion estimation and obstacle detection
... In the second part of this contribution it is demonstrated, that the above mentioned problems can be efficiently over- come by using Cellular Neural Networks (CNN). It will be shown, that a direct ...
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Extended LaSalle's Invariance Principle for Full-Range Cellular Neural Networks
... of cellular neural networks (CNNs) has been introduced in [1] in order to obtain advantages in the VLSI implementation of CNN chips with a large number of ...
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Stability of Equilibrium Points in Cellular Neural Networks with Negative Slope Activation Function
... in cellular neural networks with negative slope activation function is considered by the relationship between parameters of cellular neural ...
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Design Methods for Cellular Neural Networks with Minimum Number of Cloning Template Coefficients
... contrary neural networks have spilled into a number of fields, including fuzzy systems and evolutionary ...many neural network papers published in non-neural networks IEEE Transactions ...
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Bifurcation and Chaos in Delayed Cellular Neural Network Model
... artificial neural network (ANN) is a mathematical model that can mimic the biological process of human ...architecture. Cellular Neural Networks (CNNs) introduced by Chua and Yang [1] is one ...
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Almost periodic solutions for SICNNs with time varying delays in the leakage terms
... This paper is concerned with the shunting inhibitory cellular neural networks (SICNNs) with time-varying delays in the leakage (or forgetting) terms. Under proper conditions, we employ a novel ...
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Stability Analysis of Nontrivial Stationary Solution and Constant Equilibrium Point of Reaction-Diffusion Neural Networks With Time Delays
... Cohen-Grossberg neural networks and its corresponding ordinary di ff erential equations model have the same unique constant equilibrium point which is globally asymptoti- cally stable under the same ...the ...
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Integro differential inequality and stability of BAM FCNNs with time delays in the leakage terms and distributed delays
... In this paper, a class of impulsive bidirectional associative memory (BAM) fuzzy cellular neural networks (FCNNs) with time delays in the leakage terms and distributed delays is formulated and ...
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