Comparison of regression based functions and ANN models for predicting the compressive strength of geopolymer mortars

Abstract This study investigated the predictability of the compressive strength (CS) of geopolymeric mortars based on blast furnace slag (BFS) and steel mill slag (SMS). For this purpose, the study consists of two parts. In the first part of the study, BFS and SMS, two different types of slag were u...

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Bibliographic Details
Main Authors: Atchadeou Yranawa Katatchambo, Şinasi Bingöl
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-96772-3
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