SVMGoshawk.

Jiaqi Wang1, Zhong Xiang1, Xiao Cheng1,2

  • 1School of Mechanical Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, China.

PubMed
概括

本研究介绍了一种改进的北方Goshawk优化支持矢量机 (INGO-SVM) 模型,用于准确的工具磨损状态识别. 在磨削磨损实验中,INGO-SVM模型实现了97.9%的准确性,提高了加工精度并减少了停机时间.

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