A Novel Approach Based on Knowledge Graph and XGBoost to Characterize and Predict Position- and Speed-Dependent Dynamics of Machine Tool Structure

Chaochao Qiu, Xinyong Mao, Weiye Li. A Novel Approach Based on Knowledge Graph and XGBoost to Characterize and Predict Position- and Speed-Dependent Dynamics of Machine Tool Structure. In ICITEE2020: The 3rd International Conference on Information Technologies and Electrical Engineering, Changde City, Hunan, China, December 3-5, 2020. pages 60-66, ACM, 2020. [doi]

@inproceedings{QiuML20,
  title = {A Novel Approach Based on Knowledge Graph and XGBoost to Characterize and Predict Position- and Speed-Dependent Dynamics of Machine Tool Structure},
  author = {Chaochao Qiu and Xinyong Mao and Weiye Li},
  year = {2020},
  doi = {10.1145/3452940.3452952},
  url = {https://doi.org/10.1145/3452940.3452952},
  researchr = {https://researchr.org/publication/QiuML20},
  cites = {0},
  citedby = {0},
  pages = {60-66},
  booktitle = {ICITEE2020: The 3rd International Conference on Information Technologies and Electrical Engineering, Changde City, Hunan, China, December 3-5, 2020},
  publisher = {ACM},
  isbn = {978-1-4503-8866-5},
}