Dynamic equations on time scales: a survey
Journal of Computational and Applied Mathematics - Dynamic equations on time scales
Orthogonality of decision boundaries in complex-valued neural networks
Neural Computation
Discrete-time recurrent neural networks with complex-valued linear threshold neurons
IEEE Transactions on Circuits and Systems II: Express Briefs
IEEE Transactions on Neural Networks
Neural Processing Letters
Novel weighting-delay-based stability criteria for recurrent neural networks with time-varying delay
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Channel equalization using adaptive complex radial basis function networks
IEEE Journal on Selected Areas in Communications
Global Asymptotic Stability of Delayed Cellular Neural Networks
IEEE Transactions on Neural Networks
Symmetric Complex-Valued RBF Receiver for Multiple-Antenna-Aided Wireless Systems
IEEE Transactions on Neural Networks
On Efficient Learning Machine With Root-Power Mean Neuron in Complex Domain
IEEE Transactions on Neural Networks
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In this paper, the complex-valued neural networks with both leakage time delay and discrete time delay as well as two types of activation functions on time scales are considered. By using the fixed point theory, a criterion for checking the existence, uniqueness of the equilibrium point for the considered complex-valued neural networks is presented. By constructing appropriate Lyapunov-Krasovskii functionals, and employing the free weighting matrix method, several delay-dependent criteria for checking the global stability of the addressed complex-valued neural networks are established in linear matrix inequality (LMI), which can be checked numerically using the effective LMI toolbox in MATLAB. Three examples with simulations are given to show the effectiveness and less conservatism of the proposed criteria.