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StocIPNet: A novel probabilistic interpretable network with affine-embedded reparameterization layer for high-dimensional stochastic inverse problems Journal article
Mo, Jiang, Yan, Wang Ji. StocIPNet: A novel probabilistic interpretable network with affine-embedded reparameterization layer for high-dimensional stochastic inverse problems[J]. Mechanical Systems and Signal Processing, 2024, 220, 111623.
Authors:  Mo, Jiang;  Yan, Wang Ji
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:7.9/8.0 | Submit date：2024/08/05
Deep Learning  Model Updating  Reparameterization Trick  Stochastic Inverse Problems  Structural Health Monitoring