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The accuracy of the model and regression coefficients was appraised by employing the analysis of variance (ANOVA).
The results indicate that the classification model and regression model can, respectively, accurately identify and predict the VIV response for various modes of the investigated bridge.
Common approaches combine a rather simple physical model and regression analysis to determine the required coefficients either from one parent ship or from a set of ships.
This review considers such aspects of the calibration procedure as design of a calibration experiment, choice of a calibration model, and regression analysis of calibration data.
The significance of the model and regression coefficients were tested by the analysis of variance (ANOVA), residuals analysis and t-test statistics.
The validation of the statistical model and regression equation was conducted by cultivation B. amyloliquefaciens H11 in the basal medium containing 8.36 g/L fish gelatin by shaking at 234 rpm for 31.7 h.
Similar(33)
The testing results are compared with the ANFIS model and regression-based equation results.
Two regression approaches, the spatial error model and regression-kriging, are advanced as appropriate methods and compared to simpler but widely used regression models with limited spatial fidelity.
The ANFIS-DE technique predicted sediment transport at limit of deposition with lower root mean square error (RMSE = 0.323) and mean absolute percentage of error (MAPE = 0.065) and higher accuracy (R 2 = 0.965) than the ANFIS model and regression-based equations.
Time series models and regression analysis only deal with data set itself, and the warning model deals with exogenous variables.
Optimal ply angle and layup condition of composite tubes were obtained based on the finite element modeling and regression analysis.
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CEO of Professional Science Editing for Scientists @ prosciediting.com