Impulsive BAM neural networks
Existence and Exponential Stability of Almost Periodic Solutions for Impulsive BAM Neural Networks on Almost Periodic Time Scales
... of neural networks established on almost periodic time scales, which is different from periodic time ...the neural networks are often subject to abrupt changes at certain moments due to ...
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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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Existence and stability of periodic solutions for impulsive fuzzy BAM Cohen Grossberg neural networks on time scales
... Grossberg BAM neural networks have been extensively stud- ied and applied in many different fields such as associative memory, signal processing, and some optimization ...Cohen-Grossberg neural ...
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Integro differential inequality and stability of BAM FCNNs with time delays in the leakage terms and distributed delays
... of impulsive bidirectional associative memory (BAM) fuzzy cellular neural networks (FCNNs) with time delays in the leakage terms and distributed delays is formulated and ...with ...
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Global Exponential Stability of Delayed Cohen Grossberg BAM Neural Networks with Impulses on Time Scales
... Cohen-Grossberg BAM neural networks with distributed delays and impulses on time ...improve impulsive Cohen-Grossberg BAM neural networks with distributed delays on time ...
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Existence and globally exponential stability of equilibrium for fuzzy BAM neural networks with distributed delays and impulse
... of impulsive differential equations is now being recognized to be not only richer than the corresponding theory of differential equations without impulse, but also represents a more natural frame- work for ...
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New Results of Global Asymptotical Stability for Impulsive Hopfield Neural Networks with Leakage Time Varying Delay
... as neural networks, population dynamics and some fuzzy systems [1] ...of neural networks ...the impulsive effects on existence-uniqueness and stability problems of recurrent ...
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Exponential stability for fuzzy BAM cellular neural networks with distributed leakage delays and impulses
... (BAM) neural networks due to their potential application prospect in many dis- ciplines such as pattern recognition, automatic control engineering, optimization prob- lems, image processing, speed ...
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Global exponential stability of Markovian jumping stochastic impulsive uncertain BAM neural networks with leakage, mixed time delays, and α inverse Hölder activation functions
... stochastic impulsive uncertain BAMNNs with two kinds of time-varying delays and leak- age ...inertial-type BAM neural networks with both time-varying delays by using Wirtinger based ...
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Further analysis on stability of delayed neural networks via inequality technique
... The purpose of this paper is to improve the results in [9,14,15,18-22] via the above results in Lemma 1.2, which is a special case of [25]. We will derive some new suffi- cient conditions to ensure the global exponential ...
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Global exponential synchronization of delayed BAM neural networks with reaction-diffusion terms and the Neumann boundary conditions
... Strictly speaking, diffusion effects cannot be avoided in the NNs when electrons are moving in asymmetric electromagnetic fields. Therefore, we must consider that the activations vary in space as well as in time. In ...
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New approach to state estimator for discrete time BAM neural networks with time varying delay
... for BAM neural networks with time-varying ...discrete-time BAM neural networks with time-varying delays is considered in ...of BAM neural network with leakage ...
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Adaptive control of Mittag Leffler stabilization and synchronization for delayed fractional order BAM neural networks
... double-layer networks has not been studied, yet; so Theorems ...single-layer networks and add a meaningful criterion regarding Mittag-Leffler stabilization, which re- veals the differences and connections ...
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Global Asymptotic Stability for a New Class of Neutral Neural Networks
... This paper investigated the problem of global asymptotic stability of delayed neutral neural networks. These neutral delayed neural networks are formulated by neutral delay differential ...
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Global asymptotic stability of piecewise homogeneous Markovian jump BAM neural networks with discrete and distributed time varying delays
... continuous-time neural networks with time-varying transition probabilities and mixed time ...jump BAM neural network ...jump BAM neural net- works is ...
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Global Exponential Stability of Periodic Solutions for Static Recurrent Neural Networks with Impulsive Finite
... recursive neural network with Markovian modulation and the time-delay static recurrent neural network model considering both random perturbation and Markovian switching are ...static neural ...
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Dissipative criteria for Takagi–Sugeno fuzzy Markovian jumping neural networks with impulsive perturbations using delay partitioning approach
... jump neural networks including two types of additive time-varying ...jump neural networks are established using some generalized integral ...of neural models with Markovian jump ...
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The exponential stability of BAM neural networks with leakage time varying delays and sampled data state feedback input
... of neural networks has been widely recognized, no related results have been established for the sampled-data stability of BAM neural networks with leakage time-varying ...of BAM ...
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Impulsive synchronization of drive response chaotic delayed neural networks
... finite, neural networks with coupling delay should be ...the impulsive synchronization of drive- response chaotic delayed neural ...largest impulsive inter- vals for given neural ...
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EXPONENTIAL STABILITY OF DISCRETE NEURAL NETWORKS WITH NON-INSTANTANEOUS IMPULSES, DELAYS AND VARIABLE CONNECTION WEIGHTS WITH COMPUTER SIMULATION
... We will apply the ideas in the previous section to study the exponential stability of discrete neural networks with a delay. We will consider the case when the connections of the network are subject to a ...
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