When is an SHM problem a Multi-Task-Learning problem?
Sarah Bee Lawrence Bull Nikolas Dervilis Keith Worden
Multi-task neural networks learn tasks simultaneously to improve individual
task performance. There are three mechanisms of multi-task learning (MTL) which
are explored here for the context of structural health monitoring (SHM): (i)
the natural occurrence of multiple tasks; (ii) using outputs as inputs (both
linked to the recent research in population-based SHM (PBSHM)); and, (iii)
additional loss functions to provide different insights. Each of these problem
settings for MTL is detailed and an example is given.