新的RNN算法用于不同的时间变量矩阵不等式在离散时间框架下解决

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Updated: Jun 28, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

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Yang Shi, Chenling Ding, Shuai Li

    IEEE transactions on neural networks and learning systems
    |April 16, 2024
    PubMed
    概括

    新的离散时间循环神经网络 (RNN) 算法独立解决了具有挑战性的离散时间变量矩阵不等式. 这些新的算法,通过直接离散和二次泰勒扩展衍生,提供强大的解决方案,没有连续时间框架依赖.

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