Convergent activation dynamics in continuous time networks
Neural Networks
A neural root finder of polynomials based on root moments
Neural Computation
A constructive approach for finding arbitrary roots of polynomials by neural networks
IEEE Transactions on Neural Networks
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In this paper, we investigate a class of cellular neural networks model with delays and diffusive terms. By using the method of upper and lower solutions, we obtain that if the neuronal output signal functions in system possess mixed quasimonotone property and the corresponding elliptic system has upper and lower solutions the model has a unique nonconstant equilibrium solution. Under some additional conditions we further obtain that the solution of the neural networks converges to this nonconstant equilibrium solution.