Quality control using convolutional neural networks applied to samples of very small size

DOI10.1515/eqc-2023-0001arXiv2310.10608MaRDI QIDQ6120475

Rallou A. Chatzimichail, Aristides T. Hatjimihail

Publication date: 25 March 2024

Published in: Stochastics and Quality Control (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2310.10608

zbMATH Keywords

quality controlmeasurementconvolutional neural networksprobability for false rejectionprobability for rejection

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Applications of statistics in engineering and industry; control charts (62P30)

Cites Work

• Unnamed Item
• The Box-Cox transformation: review and extensions
• A neural fuzzy control chart for detecting and classifying process mean shifts
• X-bar andRcontrol chart interpretation using neural computing
• A generalised Box–Cox transformation for the parametric estimation of clinical reference intervals
• A logical calculus of the ideas immanent in nervous activity

This page was built for publication: Quality control using convolutional neural networks applied to samples of very small size