Abstract
In this paper, activation dynamics of complex-valued neural networks are studied on general time scales. Besides presenting conditions guaranteeing the existence of a unique equilibrium pattern, its global exponential stability is discussed. Some numerical examples for different time scales are given in order to highlight the results.
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V. Sree Hari Rao is on leave from Jawaharlal Nehru Technological University, Hyderabad 500 085, (A.P.), India.
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Bohner, M., Sree Hari Rao, V. & Sanyal, S. Global Stability of Complex-Valued Neural Networks on Time Scales. Differ Equ Dyn Syst 19, 3–11 (2011). https://doi.org/10.1007/s12591-010-0076-9
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DOI: https://doi.org/10.1007/s12591-010-0076-9