State estimation for memristor-based generalized neural networks with leakage delay

Key Points

• State estimation improves accuracy in memristor-based generalized neural networks.
• Leakage delay is a critical factor influencing network performance and stability.
• Assessment highlights how state estimation can mitigate delays in neural computation.
• Findings indicate potential for widespread applications in advanced computing systems.