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Updated: Jun 5, 2025

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改进了基于多层感知子的分数顺序梯度下降方法

Xiaojun Zhou1, Chunna Zhao1, Yaqun Huang1

  • 1School of Information Science and Engineering, Yunnan University, Kunming, 650091, China.

Neural networks : the official journal of the International Neural Network Society
|December 6, 2024
PubMed
概括

改进的分数顺序梯度下降 (IFOGD) 方法将分数顺序的差异化应用于人工神经网络 (ANN) 中的隐藏层. 这提高了深度学习任务的灵活性和性能.

关键词:
人工神经网络的人工神经网络分数顺序链条规则 分数顺序链条规则分数级梯度下降的下降.分数顺序矩阵的分化矩阵.时间序列预测时间序列预测

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