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What is Synchronization in Fractional Neural Networks about?

This study investigates the synchronization of proportional Caputo fractional-order neural networks, demonstrating that the error of the proposed system converges to zero using a generalized Gronwall inequality. The paper presents theoretical results supported by numerical examples to validate the findings. It highlights the significance of fractional calculus in modeling various phenomena and the effectiveness of fractional-order neural networks in applications such as secure communication and control proc

Author

snehri

Language

EN