Data-Driven Performance Measures using Global Properties of Attractors for Black-Box Surrogate Models of Chaotic Systems

The simulation and data are provided via Zenodo. Please unzip them and include them in the following Github Repository in the root folder. Github Repository for the Paper "Data-Driven Performance Measures using Global Properties of Attractors for Black-Box Surrogate Models of Chaotic Systems" inlucdes: Data generating script Code for Measures Script for Figures

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-31
DOI
https://doi.org/10.5281/zenodo.15564346
Primary Topic
Probabilistic and Robust Engineering Design
Type
article
Field-Weighted Citation Impact
0.00
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article

Data-Driven Performance Measures using Global Properties of Attractors for Black-Box Surrogate Models of Chaotic Systems

Zenodo (CERN European Organization for Nuclear Research)
Probabilistic and Robust Engineering Design
article

Data-Driven Performance Measures using Global Properties of Attractors for Black-Box Surrogate Models of Chaotic Systems

article en

Abstract

The simulation and data are provided via Zenodo. Please unzip them and include them in the following Github Repository in the root folder. Github Repository for the Paper "Data-Driven Performance Measures using Global Properties of Attractors for Black-Box Surrogate Models of Chaotic Systems" inlucdes: Data generating script Code for Measures Script for Figures

Zenodo (CERN European Organization for Nuclear Research)
Technische Universität Ilmenau (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 59%
Probabilistic and Robust Engineering Design
DOIOpen Access PDFOpenAlex
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Data-Driven Performance Measures using Global Properties of Attractors for Black-Box Surrogate Models of Chaotic Systems · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS