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Original Articles

The mahalanobis taguchi system—adaptive resonance theory neural network algorithm for dynamic product designs

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Pages 623-635 | Received 01 Sep 2011, Published online: 18 Jun 2013

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Zhaiming Peng, Longsheng Cheng, Qifeng Yao & Hanting Zhou. (2022) Mahalanobis-Taguchi system: a systematic review from theory to application. Journal of Control and Decision 9:2, pages 139-151.
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Articles from other publishers (5)

Faizir Ramlie, Wan Zuki Azman Wan Muhamad, Nolia Harudin, Mohd Yazid Abu, Haryanti Yahaya, Khairur Rijal Jamaludin & Hayati Habibah Abdul Talib. (2021) Classification Performance of Thresholding Methods in the Mahalanobis–Taguchi System. Applied Sciences 11:9, pages 3906.
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Liangliang Cheng, Vahid Yaghoubi, Wim Van Paepegem & Mathias Kersemans. (2020) On the Influence of Reference Mahalanobis Distance Space for Quality Classification of Complex Metal Parts Using Vibrations. Applied Sciences 10:23, pages 8620.
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Zhi Peng Chang, Yan Wen Li & Nazish Fatima. (2019) A theoretical survey on Mahalanobis-Taguchi system. Measurement 136, pages 501-510.
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Cecilia Guadalupe Mota-Gutiérrez, Edgar Omar Reséndiz-Flores & Yadira Iracema Reyes-Carlos. (2018) Mahalanobis-Taguchi system: state of the art. International Journal of Quality & Reliability Management 35:3, pages 596-613.
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Elham Ghasemi, Abdollah Aaghaie & Elizabeth A. Cudney. (2015) Mahalanobis Taguchi system: a review. International Journal of Quality & Reliability Management 32:3, pages 291-307.
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