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Accuracy of the numerical models is significantly important for accurate and realistic assessment of the studied bridges during the MS-AS event.
From Table 3, it can be witnessed that the forecasting performance of all the proposed OSTAR-GARCH models is significantly better than TP mode and even better than the classical GARCH model.
Besides, the differences in AIC and CAIC are quite small and the lowest value in the confidence interval of RMSEA was 0, indicating that neither of the two models is significantly better than the other.
The prediction performance of the GEP models is significantly better than the plastic analysis, mechanism and nonlinear regression approaches and is comparable to that of the BPNN and ANFIS models.
The free vibration frequencies predicted from the two models for the parameters considered are found to be very close to each other but transverse to the fiber direction normal stress distribution using both the models is significantly different.
The final attack rate of the considered models is significantly different (see Table 1) and it ranges from 19.1% to 25.7% for G0 = 1.1, from 47.8% to 50.7% for G0 = 1.4 and from 62.4% to 67.8% for G0 = 1.7.
Similar(47)
Full-spectrum models were significantly affected by lactose particle size.
The RHL models were significantly affected by urban and forest areas, reflecting urban heat islands.
The performance of the MJS and ANN models was significantly improved by incorporating root-zone soil moisture.
To examine whether the filled test models were significantly different from the original inverted models, we adopted the F test.
The results indicated that the response-surface models were significantly (p < 0.05) fitted for all studied response variables.
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