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Moreover, these models have high computational overhead.
The proposed models have high accuracy and satisfactory prediction capability.
The developed models have high correlation coefficients of 0.92 and 0.86 for α and β, respectively.
The results show that both models have high reliabilities and could meet the requirements of engineering calculation.
The resulting evolving fuzzy rule-based models have high degree of transparency, compact form, and computational efficiency.
The results illustrate that all of the developed models have high accuracy in predicting the critical properties, while the developed RBF models are the most accurate ones and GMDH-PNN models are the simplest models in the form of simple mathematical correlations.
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The resulting models have high-quality interfaces, revealing novel details of the interactions.
The ANOVA also detected that the C Factor models have higher quality and performance than the Disturbance models.
In addition, those three models have higher precision at low latitude than middle and high latitude regions.
The three panel data models have higher associated t-values than at the industry-level.
From the results it can be concluded that MLR models have higher estimated chi-square value (6415) than the SRSM models (2182).
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