New integral inequalities for exponential stability of neural networks with time-varying delay

Key Points

• Exponential stability is achieved under certain integral inequalities for neural networks.
• The study highlights how time-varying delay impacts the overall stability of these systems.
• Assessment focused on mathematical models depicting neural networks with dynamic delay parameters.
• These findings underscore the potential for more reliable neural network systems, but practical applications will require further validation.