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- W2910479903 abstract "The resurgence and advancement of artificial intelligence (AI) has spurred new research interests in applying or re-applying proven techniques from the 1990s to challenges in business and industry. The area of quality engineering and technology is particularly amenable to the application of AI techniques. Quality engineering programs are predicted on recurring quality projects that are made up of specific activities. The proper management of such activities is a precursor for the success of any quality program. This research paper explores the application of the proven technique of artificial neural network to activity networking in the management of quality programs." @default.
- W2910479903 created "2019-01-25" @default.
- W2910479903 creator A5042432582 @default.
- W2910479903 date "2018-01-01" @default.
- W2910479903 modified "2023-09-27" @default.
- W2910479903 title "Quality insights: artificial neural network and taxonomical analysis of activity networks in quality engineering" @default.
- W2910479903 doi "https://doi.org/10.1504/ijqet.2018.10018453" @default.
- W2910479903 hasPublicationYear "2018" @default.
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