Complete Stability of Delayed Recurrent Neural Networks With New Wave-Type Activation Functions

Activation functions have a significant effect on the dynamics of neural networks (NNs). This study proposes new nonmonotonic wave-type activation functions and examines the complete stability of delayed recurrent NNs (DRNNs) with these activation functions. Using the geometrical properties of the w...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2024-05, Vol.PP, p.1-13
Hauptverfasser:	Yan, Zepeng, Sun, Wen, Guo, Wanli, Li, Biwen, Wen, Shiping, Cao, Jinde
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Complete stability delayed recurrent neural network (DRNN) Delays Neurons Numerical stability Stability criteria Sun Thermal stability time-varying delay wave-type activation function
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