A neural-network constitutive model whose lower/mean/upper free-energy branches are trained to enclose noisy stress observations, plus a fuzzy alpha-cut interpolation for adjustable conservatism.
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Interval and fuzzy physics-augmented neural networks (iPANN and fPANN) for uncertainty quantification and propagation in constitutive modeling
A neural-network constitutive model whose lower/mean/upper free-energy branches are trained to enclose noisy stress observations, plus a fuzzy alpha-cut interpolation for adjustable conservatism.