The University of Southampton

Classification of Imbalanced Materials Data

Theme:
Machine Learning
Funding:
Federal Mogul, EPSRC

This project investigates the problem of classifying and predicting fatigue crack initiation sites, through microstructure quantification in Austempered Ductile Iron. The aim of this work is to build data driven classifiers that provide enhanced understanding of a system through the ability to visualise input/output relationships, as well as providing good predictive performance for a set of imbalanced data.

Primary investigators

Secondary investigator

  • Gary Lee

Associated research group

  • Information: Signals, Images, Systems Research Group
Share this project FacebookGoogle+TwitterWeibo

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×