Establishing a common data base of ice experiments and using machine learning to understand and predict ice behavior
Data Analysis, Statistics and Probability
2019-03-13 v2
Abstract
Machine learning and statistical tools are applied to identify how parameters, such as temperature, influence peak stress and ice behavior. To enable the analysis, a common and small scale experimental data base is established.
Cite
@article{arxiv.1812.03994,
title = {Establishing a common data base of ice experiments and using machine learning to understand and predict ice behavior},
author = {Leon Kellner and Merten Stender and Hauke Herrnring and Rüdiger U. Franz von Bock und Polach and Sören Ehlers and Norbert Hoffmann and Knut V. Høyland},
journal= {arXiv preprint arXiv:1812.03994},
year = {2019}
}