title: Statistical process control using optimized neural networks: a case study.
abstract: The most common statistical process control (SPC) tools employed for monitoring process changes are control charts. A control chart demonstrates that the process has altered by generating an out-of-control signal. This study investigates the design of an accurate system for the control chart patterns (CCPs) recognition in two aspects. First, an efficient system is introduced that includes two main modules: feature extraction module and classifier module. In the feature extraction module, a proper set of shape features and statistical feature are proposed as the efficient characteristics of the patterns. In the classifier module, several neural networks, such as multilayer perceptron, probabilistic neural network and radial basis function are investigated. Based on an experimental study, the best classifier is chosen in order to recognize the CCPs. Second, a hybrid heuristic recognition system is introduced based on cuckoo optimization algorithm (COA) algorithm to improve the generalization performance of the classifier. The simulation results show that the proposed algorithm has high recognition accuracy.
authors.affiliation: Bargh Gostar Baharan Golestan Corporation, P.O. Box 4971684981, Gonbad Kavus, Iran. Electronic address: Jalil_Addeh@yahoo.com.
authors.forename: Jalil
authors.initials: J
authors.lastname: Addeh
authors.affiliation: Faculty of Electrical and Computer Engineering, Babol (Noushirvani) University of Technology, P.O. Box 47135-484, Babol, Iran.
authors.forename: Ata
authors.initials: A
authors.lastname: Ebrahimzadeh
authors.affiliation: Faculty of Electrical and Computer Engineering, Babol (Noushirvani) University of Technology, P.O. Box 47135-484, Babol, Iran.
authors.forename: Milad
authors.initials: M
authors.lastname: Azarbad
authors.affiliation: Faculty of Electrical and Computer Engineering, Babol (Noushirvani) University of Technology, P.O. Box 47135-484, Babol, Iran.
authors.forename: Vahid
authors.initials: V
authors.lastname: Ranaee
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D005246:Feedback; D015233:Models, Statistical; D016571:Neural Networks, Computer; D010363:Pattern Recognition, Automated / Q000379:methods*; D012815:Signal Processing, Computer-Assisted
keywords: COA; Control chart patterns; Neural networks; Shape feature; Statistical feature