Table 1 Summary of previous related literature.
S. no. | Algorithm used | Year | Waste materials used | Output(s) | Reference |
|---|---|---|---|---|---|
1 | ANN | 2016 | Fly ash, Slag, Silica fume, RHA, Limestone | CS | |
2 | DT, XGB, Light Gradient Boosting | 2023 | Nano silica, Limestone, Fly ash, Marble powder | CS | |
3 | ANN | 2019 | Fly ash, Slag, Silica fume | CS | |
4 | ANN | 2017 | Fly ash | CS | |
5 | ANN | 2011 | Fly ash | CS | |
6 | Intelligent rule-based enhanced multiclass, SVM | 2019 | Fly ash | CS | |
7 | SVR, Deep Learning | 2021 | Fly ash | CS, Splitting tensile strength | |
8 | SVM | 2020 | Fly ash | L-box test, Slump test, V-funnel test, CS | |
9 | Multivariate adaptive regression spline | 2018 | Fly ash | Slump test, V-funnel test, L-box test, CS | |
10 | ANN | 2017 | Fly ash | CS, Slump flow | |
11 | ANN | 2011 | Fly ash | CS | |
12 | SVR | 2023 | Fly ash | CS | |
13 | GEP | 2009 | Fly ash | Slump flow, CS, J Ring | |
14 | Multivariate Regression (MVR) | 2020 | Silica fume, Crumb rubber | Flexural Strength, CS, Modulus of Elasticity | |
15 | Extreme Learning Machine, long short-term memory (LSTM) | 2021 | Slag, Fly ash, Silica fume | Slump flow, J Ring | |
16 | Multilayer perceptron network (MLP), KNN | 2022 | Fly ash, Slag | CS |
