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Comparison of response surface methodology (RSM) and artificial neural network (ANN) models
| Parameters | Amarogentin (I) | Swertiamarin (II) | Mangiferin (III) | |||
|---|---|---|---|---|---|---|
| RSM | ANN | RSM | ANN | RSM | ANN | |
| Root mean square error (RMSE) | 0.004624 | 0.003351 | 0.046971 | 0.02104 | 0.03464 | 0.014931 |
| Absolute average deviation (AAD) | 0.089432 | 0.089124 | 1.296331 | 1.300059 | 0.572083 | 0.568817 |
| Regression coefficient (r2) | 99.8% | 99.9% | 99.9% | 100% | 99.7% | 100% |
