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

The simulation data is provided via Zenodo: data.zip - the data needed to use the measures results.zip - the simulation data from the paper The Github Repository for the Paper "Data-Driven Performance Measures using Global Properties of Attractors for Testing Black-Box Surrogate Models of Chaotic Systems" inlucdes: Data generating script Code for Measures Script for Figures Easy introduction script on how to use the measures called how_to_use_measures.ipynb For just playing arround with the measures, you can only download the data.zip, download code from git and run how_to_use_measures.ipynb. results.zip is only needed to recreate the results from the paper. Unzip them in the Github Repository root folder.

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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.16904192
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 Testing 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 Testing Black-Box Surrogate Models of Chaotic Systems

article en

Abstract

The simulation data is provided via Zenodo: data.zip - the data needed to use the measures results.zip - the simulation data from the paper The Github Repository for the Paper "Data-Driven Performance Measures using Global Properties of Attractors for Testing Black-Box Surrogate Models of Chaotic Systems" inlucdes: Data generating script Code for Measures Script for Figures Easy introduction script on how to use the measures called how_to_use_measures.ipynb For just playing arround with the measures, you can only download the data.zip, download code from git and run how_to_use_measures.ipynb. results.zip is only needed to recreate the results from the paper. Unzip them in the Github Repository root folder.

Zenodo (CERN European Organization for Nuclear Research)
Technische Universität Ilmenau (DE)
Openalex Percentile: Top 42%
Probabilistic and Robust Engineering Design
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