TY - JOUR ID - 73017 TI - Pattern Recognition in Control Chart Using Neural Network based on a New Statistical Feature JO - International Journal of Engineering JA - IJE LA - en SN - 1025-2495 AU - Bayati, Nasrin AU - Kabiri naeini, Mehdi AD - Industrial Engineering, Payam-noor North Tehran AD - , Payam Noor Y1 - 2017 PY - 2017 VL - 30 IS - 9 SP - 1372 EP - 1380 KW - Control chart. Pattern recognition. Neural network. Statistical feature DO - N2 - 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. UR - https://www.ije.ir/article_73017.html L1 - https://www.ije.ir/article_73017_97ea8d11950d12286e48d77d8dfd6040.pdf ER -