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Updated: Sep 17, 2025

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弗罗贝尼乌斯基于规范的强大的动态神经网络,用于时间依赖矩阵反转

Hanyi Xu, Linyan Dai, Yinyan Zhang

    IEEE transactions on neural networks and learning systems
    |July 2, 2025
    PubMed
    概括

    一个新的动态神经网络模型为时间依赖矩阵反转 (TDMI) 提供了强大的和高效的解决方案. 这种基于Frobenius规范的动态神经网络 (FNBDNN) 实现了有限时间的融合,并在模拟和机器人控制应用中表现出卓越的性能.

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