Experimental Optimization and Modeling of Sodium Sulfide Production from H2S-Rich Off-Gas via Response Surface Methodology and Artificial Neural Network | Oil & Gas Science and Technology

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Table 6

Comparison of precision and accuracy of RSM and ANN models.

Model
RSM	0.9824	0.1019	2.41
ANN	0.9953	2.4115 × 10⁻⁶	1.66

Y_i, , and are the experimental data, modeling data and average of experimental data, respectively. n for RSM model is the number of experimental data and for ANN model is n_op × n_dp which n_op is the number of output parameters, and n_dp is the number of data patterns.

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