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Enhancing Industrial Quality with ANNs by gharbsamya is a document available to read on EtoBox.
This paper discusses the application of artificial neural networks (ANNs) and virtual experimental design for quality improvement in two industrial processes: chemical manufacturing and printed circuit board machining. By utilizing historical data and statistical tests, the study identifies significant factors affecting quality outputs, revealing that specific combinations of process variables can enhance yield and product quality. The findings suggest that integrating ANNs with virtual design methodologies
- Author
- gharbsamya
- Language
- EN