fa تحلیل الگوهای همزمان در نمودارهای کنترل فرآیند آماری با استفاده از شبکه عصبی تکنیک های بهینه سازی Optimization Techniques پژوهشي Research <p> <i> Statistical Process Control (SPC) charts play a major role in quality control systems, and their correct interpretation leads to discovering probable irregularities and errors of the production system. In this regard, various artificial neural networks have been developed to identify mainly singular patterns of SPC charts, while having drawbacks in handling multiple concurrent patterns. In this paper, a new compound method is proposed for automatic identification of concurrent patterns of SPC charts. First, by using a wavelet transform the complex concurrent pattern is decomposed into its underlying singular patterns, and then by implementing the Principal Component Analysis (PCA) jointly with a Probabilistic Neural Network (PNN), pattern types are identified. The results obtained from simulated data exhibited a success rate of 94.83% in recognizing concurrent multiple patterns </i><i>. </i></p> Statistical Process Control Charts, Neural Networks, Wavelet Transform, Concurrent Patterns, Pattern Recognition 15 23 http://ijiepm.iust.ac.ir/browse.php?a_code=A-10-1-71&slc_lang=fa&sid=1 Hamid Amraei amraei@modares.ac.ir 180031947532846001 180031947532846001 No Ellips Masehian masehian@modares.ac.ir 180031947532846001336 180031947532846001336 Yes