Artificial Intelligence based Pattern Recognition

Abstract

Artificial intelligence based pattern recognition is one of the most important tools in process control to identify process problems. The objective of this study was to evaluate the relative performance of a feature-based Recognizer compared with the raw data-based recognizer. The study focused on recognition of seven commonly researched patterns plotted on the quality chart. The artificial intelligence based pattern recognizer trained using the three selected statistical features resulted in significantly better performance compared with the raw data-based recognizer.