Comparative Study on Hyperparameter Tuning for Predicting Concrete Compressive Strength

This study assesses the impact of hyperparameter optimization algorithms on the performance of machine learning-based concrete compressive strength prediction models. Three datasets were used to compare the performance of a basic model that had not undergone hyperparameter optimization, with the mod...

Full description

Saved in:
Bibliographic Details
Main Authors: Jeonghyun Kim, Donwoo Lee
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Buildings
Subjects:
Online Access:https://www.mdpi.com/2075-5309/15/13/2173
Tags: Add Tag
No Tags, Be the first to tag this record!