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A survey on improvement of Mahalanobis Taguchi system and its application

Mahalanobis Taguchi System (MTS) is used for pattern recognition and classification, diagnosis, and prediction of a multivariate data set. Mahalanobis Distance (MD), orthogonal array (OA), and signal-to-noise ratio (SNR) are used in traditional MTS in order to identify and optimize the variables. Ho...

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書誌詳細
主要な著者: Tan L.M., Wan Muhamad W.Z.A., Yahya Z.R., Junoh A.K., Azziz N.H.A., Ramlie F., Harudin N., Abu M.Y., Tan X.J.
その他の著者: 58193432800
フォーマット: 論文
出版事項: Springer 2024
主題:
Mahalanobis distance
Mahalanobis Taguchi system
Mahalanobis-Taguchi-Gram-Schdimt, Optimization
Metaheuristic algorithm
Signal-to-noise ratio, Orthogonal Array
Ant colony optimization
Classification (of information)
Computer aided diagnosis
Inverse problems
Pattern recognition
Regression analysis
ITS applications
Mahalanobi-taguchi-gram-schdimt, optimization
Mahalanobis
Mahalanobis distances
Mahalanobis-taguchi systems
Meta-heuristics algorithms
Optimisations
Orthogonal array
Signal-to-noise ratio, orthogonal array
System applications
Signal to noise ratio
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