PREVIS -- A Combined Machine Learning and Visual Interpolation Approach for Interactive Reverse Engineering in Assembly Quality Control. (arXiv:2201.10257v1 [cs.HC])

Web: http://arxiv.org/abs/2201.10257

We present PREVIS, a visual analytics tool, enhancing machine learning
performance analysis in engineering applications. The presented toolchain
allows for a direct comparison of regression models. In addition, we provide a
methodology to visualize the impact of regression errors on the underlying
field of interest in the original domain, the part geometry, via exploiting
standard interpolation methods. Further, we allow a real-time preview of
user-driven parameter changes in the displacement field via visual
interpolation. This allows for fast and accountable …

arxiv engineering interactive learning machine machine learning