Multi-dimensional regression models for predicting the wall thickness distribution of corrugated pipes

HIGHLIGHTS

  • who: Hanny Albrecht and colleagues from the Pro Future GmbH, Altenberger Strasse, Linz, Austria Institute of Polymer Processing and Digital Transformation, Johannes Kepler University Linz have published the research work: Multi-Dimensional Regression Models for Predicting the Wall Thickness Distribution of Corrugated Pipes, in the Journal: Polymers 2022, 14, x FOR PEER REVIEW of /2022/
  • how: The authors developed multi-dimensional mathematical models that predict the wall thickness distribution in corrugated pipes as functions of the mold geometry by using symbolic regression based on genetic programming (GP). The model is based on some al. The . . .

     

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