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Table 3 Comparison of response surface methodology (RSM) and artificial neural network (ANN) models

From: Optimization of salicylic acid and chitosan treatment for bitter secoiridoid and xanthone glycosides production in shoot cultures of Swertia paniculata using response surface methodology and artificial neural network

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%