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...
Saved in:
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: | |
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 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Statistical process control in stamping process using pattern recognition approach
by: Abdul Rahman, Norasulaini
Published: (2018) -
Verification Of Non-Isolated Lcc Resonant Full Bridge Dc-Dc Converter For Solar Photovoltaic Systems
by: Teoh , Voon Min
Published: (2015) -
Dual And Triple Feeding For Full-Wave Dipole Antenna [TK7871.67.D56 H677 2007 f rb].
by: A. Hmood, Khedher
Published: (2007) -
Anger mood detection based on face recognition and heartbeat
by: Mohamed, Masnani, et al.
Published: (2013) -
Design And Development Of Unipolar SPWM Switching Pulses For Single Phase Full Bridge Inverter Application [TK7871.85. B151 2008 f rb].
by: Ismail, Baharuddin
Published: (2008)