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基于数据增强的长期短期内存轮网格的准确性和错误补偿

Fucong Liu1, Luyang Zou2, Ze Cao2,3

  • 1Tianjin High-end Intelligent Machine Tools Engineering Research Center, Tianjin University of Technology and Education, No 1310, Dagu South Road, Tianjin, 300222, People's Republic of China. 21202058@qq.com.

Scientific reports
|April 19, 2025
PubMed
概括

本研究介绍了用于精密轮制造的数据增强长期短期记忆 (DA-LSTM) 模型. 该模型有效地弥补了复杂,不均的轮网格错误,以降低计算成本实现高精度.

关键词:
错误评估 错误评价 错误评价这是LSTM的LSTM.不均的网状网格 不均的网格精确度优化精确度优化

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