Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Reference46 articles.
1. Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., & Zheng, X. (2015). TensorFlow: Large-scale machine learning on heterogeneous systems. https://www.tensorflow.org/ Software available from tensorflow.org
2. Bacioiu, D., Melton, G., Papaelias, M., & Shaw, R. (2019). Automated defect classification of Aluminium 5083 TIG welding using HDR camera and neural networks. Journal of Manufacturing Processes. https://doi.org/10.1016/j.jmapro.2019.07.020
3. Baek, D., Moon, H. S., & Park, S. H. (2022). In-process prediction of weld penetration depth using machine learning-based molten pool extraction technique in tungsten arc welding. Journal of Intelligent Manufacturing. https://doi.org/10.1007/s10845-022-02013-z
4. Bai, S. , Kolter, J. & Z. Koltun, V. (2018). An empirical evaluation of generic convolutional and recurrent networks for sequence modeling. https://doi.org/10.48550/ARXIV.1803.01271
5. Bergstra, J., & Bengio, Y. (2012). RandomSearch for hyper-parameter optimization. Journal of Machine Learning Research, 13, 281–305.
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献