Predictive Analysis from numerical and experimental data in press hardening

作者: Lars Penter , Patrick Link , Anke Stoll , André Albert , Steffen Ihlenfeldt

DOI: 10.1088/1757-899X/651/1/012060

关键词:

摘要:

参考文章(11)
James N. Miller, Tutorial review—Outliers in experimental data and their treatment Analyst. ,vol. 118, pp. 455- 461 ,(1993) , 10.1039/AN9931800455
Paul Åkerström, Modelling and simulation of hot stamping Luleå tekniska universitet. ,(2006)
Varun Chandola, Arindam Banerjee, Vipin Kumar, Anomaly detection: A survey ACM Computing Surveys. ,vol. 41, pp. 15- ,(2009) , 10.1145/1541880.1541882
Kun-Lun Li, Hou-Kuan Huang, Sheng-Feng Tian, Wei Xu, Improving one-class SVM for anomaly detection international conference on machine learning and cybernetics. ,vol. 5, pp. 3077- 3081 ,(2003) , 10.1109/ICMLC.2003.1260106
Arthur B. Shapiro, Using LS-Dyna for Hot Stamping ,(2009)
Dirk Landgrebe, Julia Schönherr, Norbert Pierschel, Stefan Polster, Andre Mosel, Frank Schieck, New Approaches for Improved Efficiency and Flexibility in Process Chains of Press Hardening ASME 2015 International Mechanical Engineering Congress and Exposition. ,(2015) , 10.1115/IMECE2015-53071
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, An introduction to statistical learning Springer New York. ,(2013) , 10.1007/978-1-4614-7138-7
Jie Sun, Jie Lang, Hamido Fujita, Hui Li, Imbalanced enterprise credit evaluation with DTE-SBD Information Sciences. ,vol. 425, pp. 76- 91 ,(2018) , 10.1016/J.INS.2017.10.017