Unsupervised adaptive resonance theory neural networks for control chart pattern recognition
نویسندگان
چکیده
منابع مشابه
Unsupervised adaptive resonance theory neural networks for control chart pattern recognition
This paper describes the use of unsupervised adaptive resonance theory ART2 neural networks for recognizing patterns in statistical process control charts. To improve the classi® cation accuracy, three schemes are proposed. The ® rst scheme involves using information on changes between consecutive points in a pattern. The second scheme modi® es the ART2 vigilance parameter during training. The ...
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ژورنال
عنوان ژورنال: Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
سال: 2001
ISSN: 0954-4054,2041-2975
DOI: 10.1243/0954405011515136