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Application of self-organizing map to failure modes and effects analysis methodology

In this paper, a self-organizing map (SOM) neural network is used to visualize corrective actions of failure modes and effects analysis (FMEA). SOM is a popular unsupervised neural network model that aims to produce a low-dimensional map (typically a two-dimensional map) for visualizing high-dimensi...

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書誌詳細
主要な著者:	Chang, Wuilee, Liew, Meng Pang, Tay, Kai Meng
フォーマット:	E-Article
言語:	English
出版事項:	Elsevier 2017
主題:	QA Mathematics
オンライン･アクセス:	http://ir.unimas.my/id/eprint/15892/7/Application%20of%20self-organizing%20map%20to%20failure%20modes%20%28abstract%29.pdf http://ir.unimas.my/id/eprint/15892/ http://www.sciencedirect.com/science/article/pii/S0925231217305702
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