Global Stability Criterion for Delayed Complex-Valued Recurrent Neural Networks

Abstract

The stability problem for delayed complex-valued recurrent neural networks is considered in this paper. By separating complex-valued neural networks into real and imaginary parts, forming an equivalent real-valued system, and constructing appropriate Lyapunov functional, a sufficient condition to ascertain the existence, uniqueness, and globally… (More)
DOI: 10.1109/TNNLS.2013.2288943

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