Stabilization of delayed Cohen-Grossberg BAM neural networks
Sign Up to like & getrecommendations! Published in 2017 at "Mathematical Methods in The Applied Sciences"
DOI: 10.1002/mma.4630
Abstract: This paper deals with finite-time stabilization results of delayed Cohen-Grossberg BAM neural networks under suitable control schemes. We propose a state-feedback controller together with an adaptive-feedback controller to stabilize the system of delayed Cohen-Grossberg BAM… read more here.
Keywords: neural networks; bam neural; grossberg bam; delayed cohen ... See more keywords
Stability and Hopf Bifurcation Analysis of a General Tri-diagonal BAM Neural Network with Delays
Sign Up to like & getrecommendations! Published in 2021 at "Neural Processing Letters"
DOI: 10.1007/s11063-021-10613-8
Abstract: In this article, a general tri-diagonal bidirectional associative memory (BAM) neural network model with 2n-neurons is proposed. Our investigates have some distinct superiorities, including forward transmission delay and feedback delay in the model are considered.… read more here.
Keywords: bam neural; hopf bifurcation; neural network; stability ... See more keywords
Adaptive synchronization between two non-identical BAM neural networks with unknown parameters and time-varying delays
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Control, Automation and Systems"
DOI: 10.1007/s12555-015-0462-8
Abstract: In this paper, the synchronization of two non-identical bidirectional associative memory (BAM) neural networks with unknown parameters and time-varying delays is investigated. Two adaptive controllers are designed to guarantee the global asymptotic synchronization of state… read more here.
Keywords: neural networks; bam neural; non identical; synchronization two ... See more keywords
Bifurcation Properties for Fractional Order Delayed BAM Neural Networks
Sign Up to like & getrecommendations! Published in 2021 at "Cognitive Computation"
DOI: 10.1007/s12559-020-09782-w
Abstract: In the past several decades, many papers involving the stability and Hopf bifurcation of delayed neural networks have been published. However, the results on the stability and Hopf bifurcation for fractional order neural networks with… read more here.
Keywords: neural networks; bam neural; fractional order; hopf bifurcation ... See more keywords
Stability of stochastic fuzzy BAM neural networks with discrete and distributed time-varying delays
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Machine Learning and Cybernetics"
DOI: 10.1007/s13042-014-0320-7
Abstract: Among the various fuzzy models, the well-known Takagi–Sugeno (T–S) fuzzy model is recognized as a popular and powerful tool in approximating a complex nonlinear system. T–S model provides a fixed structure to some nonlinear systems… read more here.
Keywords: networks discrete; discrete distributed; stability stochastic; neural networks ... See more keywords
Exponential input-to-state stability for complex-valued memristor-based BAM neural networks with multiple time-varying delays
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.10.038
Abstract: Abstract In this paper, the exponential input-to-state stability (ISS) for complex-valued memristor-based bidirectional associative memory (BAM) neural networks with multiple time-varying delays is discussed. By constructing a novel Lyapunov functional and utilizing inequality techniques, a… read more here.
Keywords: exponential input; neural networks; bam neural; state stability ... See more keywords
Spatio-temporal synchronization of reaction-diffusion BAM neural networks via impulsive pinning control
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.08.039
Abstract: Abstract This paper is concerned with the synchronization of bi-directional associative memory (BAM) neural networks with diffusion and time-varying delays, in which both synchronizing and desynchronizing impulses are considered. Due to the existence of the… read more here.
Keywords: diffusion; neural networks; bam neural; spatio temporal ... See more keywords
Influence of Leakage Delay on Almost Periodic Solutions for BAM Neural Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2938188
Abstract: In this paper, we deal with a class of BAM neural networks with time-varying leakage delays. By applying the exponential dichotomy of linear differential equations, fixed point theorems and differential inequality techniques, we obtain some… read more here.
Keywords: bam neural; neural networks; influence leakage; almost periodic ... See more keywords
H∞ State Estimation for BAM Neural Networks With Binary Mode Switching and Distributed Leakage Delays Under Periodic Scheduling Protocol.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2021.3055942
Abstract: This article is concerned with the H∞ state estimation problem for a class of bidirectional associative memory (BAM) neural networks with binary mode switching, where the distributed delays are included in the leakage terms. A… read more here.
Keywords: networks binary; bam neural; neural networks; state estimation ... See more keywords
Stochastic Dynamics of Discrete-Time Fuzzy Random BAM Neural Networks with Time Delays
Sign Up to like & getrecommendations! Published in 2019 at "Mathematical Problems in Engineering"
DOI: 10.1155/2019/9416234
Abstract: By using the semidiscrete method of differential equations, a new version of discrete analogue of stochastic fuzzy BAM neural networks was formulated, which gives a more accurate characterization for continuous-time stochastic neural networks than that… read more here.
Keywords: discrete time; neural networks; bam neural; stochastic fuzzy ... See more keywords
Dissipativity Analysis of Memristor-Based Fractional-Order Hybrid BAM Neural Networks with Time Delays
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Nonlinear Sciences and Numerical Simulation"
DOI: 10.1515/ijnsns-2018-0222
Abstract: Abstract A new class of memristor-based time-delay fractional-order hybrid BAM neural networks has been put forward. The contraction mapping principle has been adopted to verify the existence and uniqueness of the equilibrium point of the… read more here.
Keywords: hybrid bam; order hybrid; neural networks; memristor based ... See more keywords