Open Access

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

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.