NDLI: Artificial Intelligence Based Pattern Recognition

Content Provider	Scilit
Author	Lakshmi, G. Vijaya Sharada, N.
Copyright Year	2019
Description	Journal: SSRN Electronic Journal 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.
Related Links	https://zenodo.org/record/3355897/files/IJEMR2019090206.pdf https://papers.ssrn.com/sol3/Delivery.cfm?abstractid=3540843
ISSN	10914358
e-ISSN	15565068
DOI	10.2139/ssrn.3540843
Journal	SSRN Electronic Journal
Language	English
Publisher	Elsevier BV
Publisher Date	2019-04-01
Access Restriction	Open
Subject Keyword	Journal: SSRN Electronic Journal Neural Network Configuration
Content Type	Text
Resource Type	Article
Subject	Public Health, Environmental and Occupational Health Psychiatry and Mental Health

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