[参考文献](References) [] Sun J, Yao K, Huang K, et al. Machine learning applications in scaffold based bioprinting[J]. Materials Today: Proceedings, , : -. [] Lucien C E. Applied Machine Learning Techniques for AdditiveManufacturingProcesses:Towardin-situ Monitoring[D].Florida Agricultural and Mechanical University, . [] 张海光,宗在亮,姚远,胡庆夕.基于机器视觉的多轴D 打印缺陷检测技术研究[J].计量与测试技术,,():- .. [] 苏金龙,陈乐群,谭超林,周友翔,翁飞,姚西凌,蒋福林,滕杰.基于机器学习的增材制造过程优化与新材料研发进展[J]. 中国激光,,():-. [] Brion D A J, Pattinson S W. Generalisable D printing error detection and correction via multi-head neural networks[J]. Nature communications, , (): -. [] Sampedro G A R, Agron D J S, Amaizu G C, et al. Design of an In-Process Quality Monitoring Strategy for FDM-Type D Printer Using Deep Learning[J]. Applied Sciences, , (): . [] Jiang YG, Huang JJ, Liu Y, et al. [Efficacy of D printed fistula stent in the treatment of enteroatmospheric fistula]. Zhonghua wei Chang wai ke za zhi = Chinese Journal of Gastrointestinal Surgery. Oct;():-. [] Wang J, Huang J, Li Z, et al. Whole Model Path Planning‐Guided Multi‐Axis and Multi‐Material Printing of High‐ Performance Intestinal Implantable Stent[J]. Advanced Healthcare Materials, , (): . [] WONG K V, HERNANDEZ A. A Review of Additive Manufacturing [J]. ISRN Mechanical Engineering, , : - . [] TAUFIK M, JAIN P. Role of build orientation in layered manufacturing: A review [J]. International Journal of Manufacturing Technology and Management, , : -. [] REZA K M, PAYAM S, TAMARA R. Effects of steps on the load bearing capacity of D-printed single lap joints [J]. Journal of Materials Research and Technology, , : -. [] ANTONIOS D, ILIAS Z, TATHEAN G, et al. Multi-Response Optimization of TiAlV Support Structures for Laser Powder Bed Fusion Systems [J]. Journal of Manufacturing and Materials Processing, , (): . [] WONG K V, HERNANDEZ A. A Review of Additive Manufacturing [J]. ISRN Mechanical Engineering, , : - . [] TAUFIK M, JAIN P. Role of build orientation in layered manufacturing: A review [J]. International Journal of Manufacturing Technology and Management, , : -. [] Zhao G, Ge W, Yu Y. GraphFPN: Graph feature pyramid network for object detection[C].Proceedings of the IEEE/CVF international conference on computer vision. : -. [] Xu X, Jiang Y, Chen W, et al. Damo-yolo: A report on real-time object detection design[J]. arXiv preprint arXiv:, . [] Jiang B, Luo R, Mao J, et al. Acquisition of localization confidence for accurate object detection[C].Proceedings of the European conference on computer vision (ECCV). : -. [] Liu C, Wang K, Li Q, et al. Powerful-IoU: More straightforward and faster bounding box regression loss with a nonmonotonic focusing mechanism[J]. Neural Networks, , : -.