Novel data-driven method for non-probabilistic uncertainty analysis of engineering structures based on ellipsoid model

DOI10.1016/j.cma.2022.114889OpenAlexW4223655951MaRDI QIDQ2136724

Yanyan Li

Publication date: 12 May 2022

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2022.114889

zbMATH Keywords

non-probabilistic uncertaintyfuzzy equivalence relationback propagation artificial neural networkdata preprocessing proceduremulti-ellipsoid model

Mathematics Subject Classification ID

Probabilistic models, generic numerical methods in probability and statistics (65C20) Neural nets and related approaches to inference from stochastic processes (62M45)

Related Items (1)

Novel bootstrap-based ellipsoidal convex model for non-probabilistic reliability-based design optimization with insufficient input data

Uses Software

• Apache Spark

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