Dynamic Behavior of a Class of Delayed Lotka–Volterra Recurrent Neural Networks on Time Scales

2021 ◽  
Vol 65 (11) ◽  
pp. 59-75
Author(s):  
M. Es-saiydy ◽  
M. Zitane
Keyword(s):  
Neural Networks ◽  
Dynamic Behavior ◽  
Time Scales ◽  
Recurrent Neural Networks

scholarly journals Adaptive time scales in recurrent neural networks

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Silvan C. Quax ◽  
Michele D’Asaro ◽  
Marcel A. J. van Gerven
Keyword(s):  
Neural Networks ◽  
Time Scales ◽  
Recurrent Neural Networks ◽  
Adaptive Time

scholarly journals Existence and Global Exponential Stability of Equilibrium Solution to Reaction-Diffusion Recurrent Neural Networks on Time Scales

2010 ◽  
Vol 2010 ◽  
pp. 1-12 ◽  
Author(s):  
Kaihong Zhao ◽  
Yongkun Li
Keyword(s):  
Neural Networks ◽  
Boundary Conditions ◽  
Exponential Stability ◽  
Time Scales ◽  
Recurrent Neural Networks ◽  
Global Exponential Stability ◽  
Equilibrium Solution ◽  
Dirichlet Boundary ◽  
Reaction Diffusion ◽  
Dirichlet Boundary Conditions

The existence of equilibrium solutions to reaction-diffusion recurrent neural networks with Dirichlet boundary conditions on time scales is proved by the topological degree theory and M-matrix method. Under some sufficient conditions, we obtain the uniqueness and global exponential stability of equilibrium solution to reaction-diffusion recurrent neural networks with Dirichlet boundary conditions on time scales by constructing suitable Lyapunov functional and inequality skills. One example is given to illustrate the effectiveness of our results.

scholarly journals Large-scale user modeling with recurrent neural networks for music discovery on multiple time scales

2017 ◽  
Vol 77 (12) ◽  
pp. 15385-15407 ◽  
Author(s):  
Cedric De Boom ◽  
Rohan Agrawal ◽  
Samantha Hansen ◽  
Esh Kumar ◽  
Romain Yon ◽  
...  
Keyword(s):  
Neural Networks ◽  
Time Scales ◽  
Recurrent Neural Networks ◽  
User Modeling ◽  
Large Scale ◽  
Multiple Time Scales ◽  
Multiple Time
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