Efficient Interdependent Systems Recovery Modeling with DeepONets. (arXiv:2206.10829v1 [cs.LG])

Web: http://arxiv.org/abs/2206.10829

Modeling the recovery of interdependent critical infrastructure is a key
component of quantifying and optimizing societal resilience to disruptive
events. However, simulating the recovery of large-scale interdependent systems
under random disruptive events is computationally expensive. Therefore, we
propose the application of Deep Operator Networks (DeepONets) in this paper to
accelerate the recovery modeling of interdependent systems. DeepONets are ML
architectures which identify mathematical operators from data. The form of
governing equations DeepONets identify and the governing equation of
interdependent systems …

arxiv lg modeling systems