M Kabiri Naeini - Department of Industrial Engineering, Faculty of Engineering University of Payam Noor, Yazd center, Iran
N Bayati - Department of Industrial Engineering, Payam Noor University, North Tehran branch, Iran

Today for the expedition of the identification and timely correction of process deviations, it is necessary to use advanced techniques to minimize the costs of production of defective products. In this way control charts as one of the important tools for the statistical process control in combination with modern tools such as artificial neural networks have been used. The artificial neural networks were used to recognize the pattern in control charts in several research. Two procedures were used based on the raw data and feature for training and application of neural network. This paper presented new statistical features besides the investigation of their efficiency by application of a neural network. The simulation results demonstrated the positive effect of the presented statistical feature on neural network performance

Control Chart,Pattern Recognition,Neural Network,Statistical Feature,