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基于IMDD系统中的多源域转移学习的低复杂度深度神经网络等级器

Xiangmin Fang, Meihua Bi, Zhengmin Li

    Optics express
    |November 22, 2024
    PubMed
    概括

    一个新的多源域转移学习 (MST) 方案大大降低了强度调制和直接检测 (IMDD) 系统中深度神经网络 (DNN) 均等器的培训成本. 这种方法提高了模型的概括性和稳定性,以更少的数据和更少的训练时代实现目标位误差率.

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