Analysis reveals conditions for stability in feedback neural networks, highlighting the role of nonlinear equations.
The paper considers an artificial neural network with feedback described by a system of nonlinear differential equations. The stability of a neural network is studied using the Lyapunov function method. The conditions under which the neural network reaches a stationary state are given.
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S.A. Nelukhin (2025) studied this question.
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