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This is now an inactive research group it's members have moved on. You can find them at their new research groups:

ECS Intranet:
Classification of Imbalanced Materials Data

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.

Type: Postgraduate Research
Research Group: Information: Signals, Images, Systems Research Group
Theme: Machine Learning
Dates: ? to ?


Principal Investigators

Other Investigators

URI: http://id.ecs.soton.ac.uk/project/236
RDF: http://rdf.ecs.soton.ac.uk/project/236

More information

You can edit the record for this project by visiting http://secure.ecs.soton.ac.uk/db/projects/editproj.php?project=236