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Updated: Jul 12, 2025

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通过随机梯度下降来学习光滑的树形态神经元,用于模式分类

Wilfrido Gómez-Flores1, Humberto Sossa2

  • 1Centro de Investigación y de Estudios Avanzados del IPN, Unidad Tamaulipas, Parque TECNOTAM, ZIP 87130, Ciudad Victoria, Tamaulipas, Mexico.

Neural networks : the official journal of the International Neural Network Society
|October 19, 2023
PubMed
概括

这项研究引入了使用随机梯度下降 (SGD) 的树突形态神经元 (DMN) 的新学习算法. 改进的DMN模型提高了模式分类性能,为现有方法提供了有竞争力的替代方案.

关键词:
树形态神经元 树形态神经元可学习的软max层.顺的激活功能的功能.球形树突是球形的树突.随机梯度下降 随机梯度下降

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