Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Exponential stability of delayed bi-directional associative memory networks
Applied Mathematics and Computation
Advanced fuzzy cellular neural network: Application to CT liver images
Artificial Intelligence in Medicine
Global Asymptotic Stability of Fuzzy Cellular Neural Networks with Unbounded Distributed Delays
Neural Processing Letters
International Journal of Systems Science
Delay dependent stability results for fuzzy BAM neural networks with Markovian jumping parameters
Expert Systems with Applications: An International Journal
Mathematical and Computer Modelling: An International Journal
Exponential stability and periodic oscillatory solution in BAM networks with delays
IEEE Transactions on Neural Networks
Stability analysis of bidirectional associative memory networks with time delays
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Computers & Mathematics with Applications
Delay-Dependent Exponential Stability of Cellular Neural Networks with Multi-Proportional Delays
Neural Processing Letters
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In this article, a class of bidirectional associative memory (BAM) fuzzy cellular neural networks (FCNNs) with time delay in the leakage term, discrete and unbounded distributed delays is formulated to study the global asymptotic stability. This approach is based on the Lyapunov-Krasovskii functional with free-weighting matrices. Using linear matrix inequality (LMI), a new set of stability criteria for BAM FCNNs with time delay in the leakage term, discrete and unbounded distributed delays is obtained. Also, the stability behavior of BAM FCNNs is very sensitive to the time delay in the leakage term. In the absence of a leakage term, a new stability criteria is also derived by employing a Lyapunov-Krasovskii functional and using the LMI approach. Our results establish a new set of stability criteria for BAM FCNNs with discrete and unbounded distributed delays. Numerical examples are provided to illustrate the effectiveness of the developed techniques.