Özet:

Returns are the main problems faced in the manufacturing processes. In the process of removal, expensive methods such as trial errors are used. In today’s world, with the development of computer technology, the use of computer and computer programs in all fields has become widespread. With artificial intelligence technology, the system is expected to predict unknown situations by entering known data from the outside into the system. In this study, recurrence has been estimated using the artificial nervous networks (YSA) and the Regression method. Different YSA models have been created and compared to each other to see the effects of different parameters. The results of the studies have shown that the choice of the appropriate parameters in the YSA models is quite important. The YSA model results have been shown to make more successful forecasts than the Regression model results.

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