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Main Authors: Zhen, Luo, Weiming, Tian
Format: Recurso digital
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Published: Zenodo 2026
Online Access:https://doi.org/10.5281/zenodo.19223309
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author Zhen, Luo
Weiming, Tian
author_facet Zhen, Luo
Weiming, Tian
contents <p>This record contains the full Python implementation used to reproduce the results reported in the manuscript “An Optimized Machine Learning Approach for Reliable Design of Hybrid FRP–Steel–Concrete Tubular Columns.” The archive includes scripts and/or notebooks for data preprocessing and cleaning, feature scaling, Bayesian hyperparameter optimization, model training, cross-validation, testing, SHAP-based interpretation, figure generation, and GUI deployment. The record also contains dependency specifications, trained model files, and example inputs needed to reproduce the reported outputs and figures.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_19223309
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Code for: An Optimized Machine Learning Approach for Reliable Design of Hybrid FRP–Steel–Concrete Tubular Columns
Zhen, Luo
Weiming, Tian
<p>This record contains the full Python implementation used to reproduce the results reported in the manuscript “An Optimized Machine Learning Approach for Reliable Design of Hybrid FRP–Steel–Concrete Tubular Columns.” The archive includes scripts and/or notebooks for data preprocessing and cleaning, feature scaling, Bayesian hyperparameter optimization, model training, cross-validation, testing, SHAP-based interpretation, figure generation, and GUI deployment. The record also contains dependency specifications, trained model files, and example inputs needed to reproduce the reported outputs and figures.</p>
title Code for: An Optimized Machine Learning Approach for Reliable Design of Hybrid FRP–Steel–Concrete Tubular Columns
url https://doi.org/10.5281/zenodo.19223309