Table 1 AI modeling studies on RCC.
References | Products and wastes used in RCC mixtures | AI technique | Dataset | The best model for CS (R value) | The best model for STS (R value) |
|---|---|---|---|---|---|
RAP & crumb rubber | *ANN *GA-ANN | 56 | GA&ANN (0.945) | – | |
Rice husk ash | *ANFIS | 9 | ANFIS (0.9986) | – | |
Macro-synthetic fibre | *ANOVA | 15 | ANOVA (0.9647) | – | |
High-volume fly ash, crumb rubber & nano silica | *ANOVA | 16 | ANOVA (0.9803) | ANOVA (0.9327) | |
- | *GEP (1,2–3) | 235 | GEP 1 (0.901) | – | |
- | *RF *M5r *M5p *CHAID | 929 | RF (0.986) | RF (0.991) | |
EAF slag & fly ash | *MRA *ANN *FL | 53 | FL (0.9817) | – | |
- | *ANN *PSO-ANN | 500 | PSO-ANN (0.922) | – | |
Crumb rubber & nano silica | *ANOVA | 68 | ANOVA (0.9849) | – | |
- | *ANN *RF *MARS *MARS-GOA *ELM *M5p | 947 | MARS-GOA (0.9327) | MARS-GOA (0.9322) | |
RAP | *LM-ANN *BR-ANN *SCG-ANN *2HL-ANN | 83 | ANN-BR (0.985) | – | |
– | *PSO-LightGBM *SVR *LM-ANN | 408 | PSO-LightGBM (0.9808) | – | |
Color pigment | *ML *GB *RF *SVM *ANN *BGG | 239 | ANN (0.9808) | – |
