Design of an artificial neural network pattern recognition scheme using full factorial experiment

• Main Authors: Masood, Ibrahim, Zainal Abidin, Nadia Zulikha, Roshidi, Nur Rashida, Rejab, Noor Azlina, Johari, Mohd Faizal
• Format: Article
• Language: English
• Published: Trans Tech Publications 2014
• Subjects: TJ Mechanical engineering and machinery; TK7800-8360 Electronics
• Online Access: http://eprints.uthm.edu.my/5068/1/AJ%202017%20%28251%29%20Design%20of%20an%20artificial%20neural%20network.pdf; http://eprints.uthm.edu.my/5068/; http://dx.doi.org/10.4028/www.scientific.net/AMM.465-466.1149
• Institution: Universiti Tun Hussein Onn Malaysia

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...