Artificial Neural Network Algorithms to Predict the Compressive Strength of Fly Ash-Based Geopolymers

This study explores the application of Artificial Neural Networks (ANNs), specifically Self-Organizing Maps (SOM) and Hierarchical Self-Organizing Maps (HSOM), to predict the compressive strength of geopolymer concrete (GPC), activated using sodium hydroxide (NaOH) and sodium silicate (Na2SiO3). GPC...

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Bibliographic Details

Main Author:	Siaw Hui, Teo
Format:	Thesis
Language:	en en en
Published:	Semarak Ilmu Journal of Advanced Research in Applied Mechanics 2025
Subjects:	TA Engineering (General). Civil engineering (General)
Online Access:	http://ir.unimas.my/id/eprint/49704/3/dsva_Teo%20Siaw%20Hui.pdf http://ir.unimas.my/id/eprint/49704/4/Thesis%20MEng_Teo%20Siaw%20Hui.pdf http://ir.unimas.my/id/eprint/49704/5/Thesis%20MEng_Teo%20Siaw%20Hui_24%20pages.pdf http://ir.unimas.my/id/eprint/49704/
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