Table 5 Comparison of prediction parameter with the literature.
From: Design and modeling of a nanocomposite system for demineralization of sweet whey
Row | Membrane system | Output variable | Model | Prediction accuracy | Optimum flux | References |
|---|---|---|---|---|---|---|
1 | Dead-end | Flux | ANN | 0.987 | 19.30 | |
2 | Cross-flow | Flux | ANN genetic algorithm | 0.999 | 216 | |
3 | Cross-flow | Flux | ANN | 0.961 | 8 | |
4 | Dead-end | Flux | Gene expression | 0.989 | 5.6 | |
5 | Cross-flow | Flux | Multiple regression analysis | 0.999 | 110 | |
6 | Spinning basket | Flux | ANN | 0.9952 | 41 | |
7 | Cross-flow | Flux | ANN | 0.931 | – | |
8 | Cross-flow | Fouling | CNN | 0.90 | – | |
9 | Cross-flow | ANN | 1.00 | 25.40 | ||
10 | Dead-End | Flux | CNN | 1.00 | 8.37 | Current study |
