- Article
Compressive Strength Estimation of Geopolymer Composites through Novel Computational Approaches
- Muhammad Nasir Amin,
- Kaffayatullah Khan,
- Waqas Ahmad,
- Muhammad Faisal Javed,
- Hisham Jahangir Qureshi,
- Muhammad Umair Saleem,
- Muhammad Ghulam Qadir and
- Muhammad Iftikhar Faraz
The application of artificial intelligence approaches like machine learning (ML) to forecast material properties is an effective strategy to reduce multiple trials during experimentation. This study performed ML modeling on 481 mixes of geopolymer co...

