Design of an Artificial Neural Network Pattern Recognition Scheme Using Full Factorial Experiment

Automated recognition of process variation patterns using an artificial neural network (ANN) model classifier is a useful technique for multivariate quality control. Proper design of the classifier is critical for achieving effective recognition performance (RP). The existing classifiers were mainly...

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Veröffentlicht in:	Applied Mechanics and Materials 2014-01, Vol.465-466, p.1149-1154
Hauptverfasser:	Masood, Ibrahim, Johari, Mohd Faizal, Rejab, Noor Azlina, Roshidi, Nur Rashida, Abidin, Nadia Zulikha Zainal
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Bivariate analysis Classifiers Correlation analysis Cross correlation Design parameters Factorial design Mathematical models Mean Pattern recognition Process controls Quality control Statistical process control Training
Online-Zugang:	Volltext
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