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Obtained results show that the proposed system provides a short processing time while maintaining a high performance in term of classification accuracy.
Quantitative comparisons of the results from ANN and SVM depicts that for classification problem of source rock zonation SVM with RBF (Radial Basis Function) kernel readily outperforms ANN in term of classification accuracy (0.9077 and 0.9369 for ANN and SVM, respectively), reduced computational time and highly repeatable results.
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The performances of the reported architecture were assessed in terms of classification of stress conditions.
In their study, SVD outperformed PCA in terms of classification accuracy and computational time saving.
SSGLDM has also pro-vided better performances in terms of classification accuracy and computational complexity.
Recently, significant advances have been made in gene sequence classification in terms of classification accuracy and processing speed.
Finally, the results show a better performance of the 'traingdx' in comparison with the others in terms of classification accuracy.
In Stage II, HHPSO SVM outperformed all other algorithms for all subjects in terms of classification accuracy.
Under such a situation, the performance of the learning model degrades in terms of classification accuracy and learning time.
All three classifiers have been previously determined as efficient in terms of classification accuracies as well as computational time [51 53].
The similarity measure based on Bhattacharyya coefficient outperforms the other similarity measures in terms of classification accuracy.
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