Group of Continuous Time Recurrent Neural Networks
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Abstract
This paper explain a different type process for absolute exponential stability (AEST) of a group of continuous time recurrent neural networks with locally Lipschitz continuous and monotone non decreasing activation function. The result extends and improves the existing the analysis of absolute stability (ABST) and absolute exponential stability (AEST).
Keywords: Neural network; absolute exponential stability; global exponentially stability.
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