The performance of Taguchi�s T-method with binary bat algorithm based on great value priority binarization for prediction
Taguchi�s T-method is a predictive modeling technique under the Mahalanobis-Taguchi system that is based on the regression principle and robust quality engineering elements to predict future state or unknown outcomes. In enhancing prediction accuracy, the T-method employed Taguchi�s orthogonal array...
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Prince of Songkla University
2023
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my.uniten.dspace-266812023-05-29T17:36:09Z The performance of Taguchi�s T-method with binary bat algorithm based on great value priority binarization for prediction Marlan Z.M. Ramlie F. Jamaludin K.R. Harudin N. 57223885180 55982859700 26434395500 56319654100 Taguchi�s T-method is a predictive modeling technique under the Mahalanobis-Taguchi system that is based on the regression principle and robust quality engineering elements to predict future state or unknown outcomes. In enhancing prediction accuracy, the T-method employed Taguchi�s orthogonal array as a variable selection approach to determine a subset of independent variables that are significant toward the dependent variable or output. This, however, leads to sub-optimality of prediction accuracy as the orthogonal array design lacks in offering higher-order variable interactions, in addition to its fixed and limited variable combinations to be assessed and evaluated. This paper proposes an optimization algorithm based on the Binary Bat algorithm methodology for replacing the conventional orthogonal array approach. Specifically, a Great Value Priority binarization scheme is employed to transform the continuous location of the bat into a binary bit, representing a combination of the variable in binary string form. A comparative study was conducted, and the mean absolute error metric was used as the performance measure. Experiments show that the T-method prediction accuracy with the Binary Bat algorithm based on the Great Value Priority binarization scheme is better than that of the conventional T-method-orthogonal array. � 2022, Prince of Songkla University. All rights reserved. Final 2023-05-29T09:36:09Z 2023-05-29T09:36:09Z 2022 Article 2-s2.0-85149336185 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149336185&partnerID=40&md5=7db94703fd05807b1ca32b54ae41089b https://irepository.uniten.edu.my/handle/123456789/26681 44 6 1489 1495 Prince of Songkla University Scopus |
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Taguchi�s T-method is a predictive modeling technique under the Mahalanobis-Taguchi system that is based on the regression principle and robust quality engineering elements to predict future state or unknown outcomes. In enhancing prediction accuracy, the T-method employed Taguchi�s orthogonal array as a variable selection approach to determine a subset of independent variables that are significant toward the dependent variable or output. This, however, leads to sub-optimality of prediction accuracy as the orthogonal array design lacks in offering higher-order variable interactions, in addition to its fixed and limited variable combinations to be assessed and evaluated. This paper proposes an optimization algorithm based on the Binary Bat algorithm methodology for replacing the conventional orthogonal array approach. Specifically, a Great Value Priority binarization scheme is employed to transform the continuous location of the bat into a binary bit, representing a combination of the variable in binary string form. A comparative study was conducted, and the mean absolute error metric was used as the performance measure. Experiments show that the T-method prediction accuracy with the Binary Bat algorithm based on the Great Value Priority binarization scheme is better than that of the conventional T-method-orthogonal array. � 2022, Prince of Songkla University. All rights reserved. |
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57223885180 Marlan Z.M. Ramlie F. Jamaludin K.R. Harudin N. |
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Marlan Z.M. Ramlie F. Jamaludin K.R. Harudin N. |
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Marlan Z.M. Ramlie F. Jamaludin K.R. Harudin N. The performance of Taguchi�s T-method with binary bat algorithm based on great value priority binarization for prediction |
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Marlan Z.M. |
| title |
The performance of Taguchi�s T-method with binary bat algorithm based on great value priority binarization for prediction |
| title_short |
The performance of Taguchi�s T-method with binary bat algorithm based on great value priority binarization for prediction |
| title_full |
The performance of Taguchi�s T-method with binary bat algorithm based on great value priority binarization for prediction |
| title_fullStr |
The performance of Taguchi�s T-method with binary bat algorithm based on great value priority binarization for prediction |
| title_full_unstemmed |
The performance of Taguchi�s T-method with binary bat algorithm based on great value priority binarization for prediction |
| title_sort |
performance of taguchi�s t-method with binary bat algorithm based on great value priority binarization for prediction |
| publisher |
Prince of Songkla University |
| publishDate |
2023 |
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1806427458224783360 |
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