Akademik Veri Yönetim Sistemi
6th INTERNATIONAL CONFERENCE ON ADVANCES IN NATURAL & APPLIED SCIENCE, Ağrı, Türkiye, 11 - 13 Ekim 2022, ss.136-140
Electronic circuit elements are electronic parts that play an important role in the operation of any system and are widely used in the field of technology. Electronic circuit elements have started to be produced in smaller sizes with the development of technology. Traditionally, the correct classification of electronic circuit elements has been difficult. In recent years, developments in the field of machine learning have made a significant contribution to the correct identification and classification of electronic circuit elements. In this study, in order to classify electronic elements correctly, a 3-class (capacitor, diode and resistor) dataset downloaded from the internet is compared with machine learning methods. The experimental results obtained as a result of the comparison have shown that it has promising performance in classifying electronic circuit elements using machine learning methods.