Integration of discriminant analysis with Artificial neural networks to decision analytic framework for enhancing automated visual IC inspection accuracy

Key Points

• Accuracy enhancement improves with the integration of discriminant analysis and artificial neural networks.
• The combined approach achieved a notable accuracy increase during visual inspections.
• Integration involves a decision analytic framework that guides inspections through robust methodologies.
• This work highlights the potential for advanced analytical techniques to refine automated inspection processes.