ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1905.05345
  4. Cited By
Adaptive surrogate models for parametric studies

Adaptive surrogate models for parametric studies

12 May 2019
J. Fuhg
ArXiv (abs)PDFHTML

Papers citing "Adaptive surrogate models for parametric studies"

3 / 3 papers shown
Title
Interval and fuzzy physics-informed neural networks for uncertain fields
Interval and fuzzy physics-informed neural networks for uncertain fields
J. Fuhg
Ioannis Kalogeris
A. Fau
N. Bouklas
AI4CE
97
19
0
18 Jun 2021
Local approximate Gaussian process regression for data-driven
  constitutive laws: Development and comparison with neural networks
Local approximate Gaussian process regression for data-driven constitutive laws: Development and comparison with neural networks
J. Fuhg
M. Marino
N. Bouklas
80
61
0
07 May 2021
An innovative adaptive kriging approach for efficient binary
  classification of mechanical problems
An innovative adaptive kriging approach for efficient binary classification of mechanical problems
J. Fuhg
A. Fau
AI4CE
43
2
0
02 Jul 2019
1