BAM Neural Networks
Global Exponential Stability of Delayed Cohen Grossberg BAM Neural Networks with Impulses on Time Scales
... memory BAM neural networks with distributed delays and impulses on time ...Cohen-Grossberg BAM neural network with impulses under the same ...
17
Global asymptotic stability of piecewise homogeneous Markovian jump BAM neural networks with discrete and distributed time varying delays
... jump BAM neural networks with discrete and distributed time ...jump BAM neural networks with discrete and distributed time ...
16
Existence and Stability Analysis of Fractional Order BAM Neural Networks with a Time Delay
... (BAM) neural networks models, first proposed and stu- died by Kosko ...This neural network has been widely studied due to its promising potential for applications in pattern recognition and ...
12
Existence and globally exponential stability of equilibrium for fuzzy BAM neural networks with distributed delays and impulse
... memory neural networks (BAM) models were first intro- duced by Kosko ...recurrent neural networks that can store bipolar vector pairs. The BAM neural network is composed ...
12
Dynamic Analysis of Fractional Order Fuzzy BAM Neural Networks with Delays in the Leakage Terms
... In this paper, based on the theory of fractional-order calculus, we obtain some sufficient conditions for the uniform stability of fractional-order fuzzy BAM neural networks with delays in the ...
12
Existence and Exponential Stability of Almost Periodic Solutions for Impulsive BAM Neural Networks on Almost Periodic Time Scales
... This paper considers almost periodic dynamics for impulsive BAM neural networks with variable delays and continuously distributed delays on almost periodic time scales. By applying contraction ...
12
Global exponential stability of Markovian jumping stochastic impulsive uncertain BAM neural networks with leakage, mixed time delays, and α inverse Hölder activation functions
... recurrent neural networks (RNNs) largely studied by many researchers in recent ...of neural networks such as bidirectional associative memory (BAM) neural networks, ...
31
Adaptive control of Mittag Leffler stabilization and synchronization for delayed fractional order BAM neural networks
... (BAM) neural net- works with double layers [6], which revealed the intimate connection between the neurons arranged in the U-layer and the neurons arranged in the ...double-layer networks, their ...
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Stability Criteria for BAM Neural Networks With Time–Varying Delays and Leakage Delays
... delayed BAM neural networks (4) are globally asymptotically stable, if there exist symmetric positive definite matrices Y > 0, Y 5 > 0, Z u > 0 3 = 1,2, … ,8, w x > 0 b = 1,2, … ,6, R r ...
9
Exponential Stability for Impulsive BAM Neural Networks with Time Varying Delays and Reaction Diffusion Terms
... the neural networks when electrons are moving in asymmetric electromagnetic fields [23], so we must consider that the activations vary in space as well as in ...of neural networks with ...
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New approach to state estimator for discrete time BAM neural networks with time varying delay
... years, neural networks have been widely studied and applied in various fields such as load frequency control in pattern recognition, static image processing, asso- ciative memories, mechanics of structures ...
15
The exponential stability of BAM neural networks with leakage time varying delays and sampled data state feedback input
... decades, neural networks have been widely investigated by ...(BAM) neural networks were firstly introduced by Kosko [, ...the BAM neural network has attracted considerable ...
10
Enhanced robust finite time passivity for Markovian jumping discrete time BAM neural networks with leakage delay
... This paper is concerned with the problem of enhanced results on robust finite-time passivity for uncertain discrete-time Markovian jumping BAM delayed neural networks with leakage delay. By ...
28
Existence and exponential stability of an equilibrium point for fuzzy BAM neural networks with time varying delays in leakage terms on time scales
... In recent years, due to their wide range of applications, for example, pattern recognition, associative memory, and combinatorial optimization, BAM neural networks have received much attention. There ...
16
Global exponential stability and existence of periodic solutions for delayed reaction-diffusion BAM neural networks with Dirichlet boundary conditions
... reaction-diffusion BAM neural networks with Dirichlet boundary ...reaction-diffusion BAM neural networks with mixed time delays and Dirichlet boundary ...
23
Periodic Solutions of Cohen Grossberg Type BAM Neural Networks with Time Varying Delays
... as BAM neural networks is a special case of Hopfield neural networks, many results of CGBAMNNs can be directly obtained from the ones of CGNNs, needing no repetitive discus- sions, ...
5
Global Exponential Stability of Periodic Oscillation for Nonautonomous BAM Neural Networks with Distributed Delay
... which also in the Wang et al. 28. This limitation is being removed by this paper. Based on the continuation theorem of Mawhin’s coincidence degree theory, the nonsingular M-matrix and Lyapunov functionals, we derive a ...
20
Anti periodic oscillations of bidirectional associative memory (BAM) neural networks with leakage delays
... In this article, we discuss anti-periodic oscillations of BAM neural networks with leakage delays. A sufficient criterion guaranteeing the existence and exponential stability of the involved model is ...
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Global exponential synchronization of delayed BAM neural networks with reaction-diffusion terms and the Neumann boundary conditions
... In this article, global exponential synchronization has been considered for a class of BAM NNs with time-varying and distributed delays and reaction-diffusion terms. We have established a new sufficient condition ...
14
Passivity analysis of spatially and temporally BAM neural networks with the Neumann boundary conditions
... time-varying delays. This condition not only connects with the delays, but it also relates to the diffusion effect. There are few results on the passivity analysis of BAM RDNNs with Neumann boundary conditions and ...
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