A CS-AdaBoost-BP model for product quality inspection

Quality inspection is essential in preventing defective products from entering the market. Due to the typically low percentage of defective products, it is generally challenging to detect them using algorithms that aim for the overall classification accuracy. To help solve this problem, we propose a...

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Veröffentlicht in:	Annals of operations research 2022, Vol.308 (1-2), p.685-701
Hauptverfasser:	Wu, Zengyuan, Zhou, Caihong, Xu, Fei, Lou, Wengao
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Back propagation networks Business and Management Classification Combinatorics Defective products Household appliances Inspection Machine learning Methods Neural networks Operations research Operations Research/Decision Theory Product quality Production lines Quality control S.I. : Artificial Intelligence in Operations Management Theory of Computation
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