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...
| 第一著者: | |
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| フォーマット: | 学位論文 |
| 言語: | 英語 英語 英語 |
| 出版事項: |
Semarak Ilmu Journal of Advanced Research in Applied Mechanics
2025
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| 主題: | |
| オンライン・アクセス: | http://ir.unimas.my/id/eprint/49704/ |
| Abstract | Abstract here |
