AuthorsS. W. Funke
TitleMachine learning with expert systems
AfilliationScientific Computing
Project(s)OptCutCell: Simulation-based optimisation with dynamic domains, Center for Biomedical Computing (SFF)
Publication TypeTalks, invited
Year of Publication2017
Location of TalkSimula Research Laboratory, Norway
Type of TalkCOMMONS seminar

The sensitivity of computer program outputs to its inputs is a driving component of many algorithms that surround our daily live. One example is machine learning, where sensitivities are used to train the machine to a specific data set. Another example is simulation-based optimisation, where the sensitivities are used to improve physically constrained designs. In this talk, I will present the numerical techniques that is used to compute these sensitivities. We will see that the similar techniques are used both in machine learning (known as back-propagation) and simulation-based optimisation (adjoint methods). Finally, we investigate possibilities to combine simulation-based optimisation and machine learning to leverage the advantages of both approaches.

Citation Key25358

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