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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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