Stability Analysis and Application for Delayed Neural Networks Driven by Fractional Brownian Noise

This paper deals with two types of the stability problem for the delayed neural networks driven by fractional Brownian noise (FBN). The existence and the uniqueness of the solution to the main system with respect to FBN are proved via fixed point theory. Based on Hilbert-Schmidt operator theory and...

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Veröffentlicht in:	IEEE transaction on neural networks and learning systems 2018-05, Vol.29 (5), p.1491-1502
Hauptverfasser:	Zhou, Wuneng, Zhou, Xianghui, Yang, Jun, Zhou, Jun, Tong, Dongbing
Format:	Artikel
Sprache:	eng
Schlagworte:	Asymptotic stability Biological neural networks Biological system modeling Brownian motion Electrical noise Fixed point theory Fixed points (mathematics) fractional Brownian noise (FBN) Indexes Multiagent systems Neural networks Noise Stability analysis Stability criteria Stochastic processes Stochasticity Synchronism Synchronization time delay
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