Application of Radial Basis Function (RBF) neural networks to estimate oil field drilling fluid density at elevated pressures and temperatures | Oil & Gas Science and Technology

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Table 3

Statistical indexes of the proposed RBF model in comparison to existing models in the literature [36, 37] for estimating the drilling fluid density at wellbore conditions.

Model	R ²	MSE
RBF neural network model (this study)	0.999990	0.00000166
PSO-ANN [36]	0.9964	0.0001374
FIS [36]	0.7273	67.0907
GA-FIS [36]	0.9397	0.091
LSSVM [37]	0.9999	0.000145
ANFIS [37]	0.8502	35.002
PSO-ANFIS [37]	0.9321	0.01008

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