$Stability and synchronization of fractional-order generalized reaction–diffusion neural networks with multiple time delays and parameter mismatch$

Stability and synchronization of fractional-order generalized reaction–diffusion neural networks with multiple time delays and parameter mismatch

In this paper, stability and synchronization of fractional-order generalized reaction–diffusion neural networks with multiple time delays and parameter mismatch are investigated. The global uniform stability conditions of fractional-order generalized reaction–diffusion neural networks are derived. F...

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Veröffentlicht in:	Neural computing & applications 2022-10, Vol.34 (20), p.17905-17920
Hauptverfasser:	Gu, Yajuan, Wang, Hu, Yu, Yongguang
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Control theory Data Mining and Knowledge Discovery Diffusion Fault diagnosis Image Processing and Computer Vision Investigations Liapunov direct method Mathematical functions Neural networks Original Article Parameters Probability and Statistics in Computer Science Stability Synchronism
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