چکیده مقاله
In the current information world, governments and many researchers pay special attention to the electronic commerce and mechanization of all business activities What has been suggested as the initial and simplest stage in this respect includes utilization and universality of automated transfer machines In spite of their popularity and great development, the money transferring operation in these machines is still performed manually and with the aid of human force Since these processes have been automated, there have to be some mechanisms in order to automatically recognize the banknote This article, for the first time, examines the recognition of Iranian banknote Considering the abundant application of artificial neural networks, in the suggested method we have applied the structure of artificial neural network for recognition Moreover, at the end of this article, we have brought to your notice creating experimental samples as well as stimulations
کلیدواژهها
نویسندگان
Mostafa Esfandiar
PhD student in Information Technology Management, Department of Management, Hamedan Branch, Islamic Azad University, Hamedan, Iran
Zeynab Rahbari
Education Department of Qalqalroud District, Tuyserkan County, Hamadan, Iran
شیوه ارجاع
Esfandiar, Mostafa and Rahbari, Zeynab,1403,A Multiple Classifier to Automatically Recognize Iranian Banknote based on Neural Networks,The 5th international conference on artificial intelligence and its future prospects in electrical, computer, mechanical and telecommunication engineering sciences,Mashhad
ارائهشده در
مجموعه مقالات پنجمین کنفرانس بین المللی هوش مصنوعی و چشم انداز آینده آن در علوم مهندسی برق ، کامپیوتر ، مکانیک و مخابرات17 اسفند 1403 · مشهد