New Applied Mechanics and Engineering Data Have Been Reported by Investigators at University of Utah (Variational Inference for Nonlinear Inverse Problems Via Neural Net Kernels: Comparison To Bayesian Neural Networks, Application To Topology …)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Investigatorspublish new report on Engineering - Applied Mechanics and Engineering. According to news originating from Salt Lake City, Utah, by NewsRx correspondents, research stated, “Inverse problems and, in particular,inferring unknown or latent parameters from data are ubiquitous in engineering simulations. A predominantviewpoint in identifying unknown parameters is Bayesian inference where both prior information about theparameters and the information from the observations via likelihood evaluations are incorporated into theinference process.”