Tackling data scarcity in machine learning-based CFRP drilling performance prediction through a broad learning system with virtual sample generation (BLS-VSG)

作者：Jia Ge, Zequan Yao, Ming Wu, José Humberto S. Almeida, Yan Jin, Dan Sun · 发表于：Composites Part B Engineering · 年份：2025 · DOI：10.1016/j.compositesb.2025.112701 · 被引用次数：28 · 研究领域：Drilling and Well Engineering、Tunneling and Rock Mechanics、Advanced machining processes and optimization