— The main objective of departments of education is providing quality education for students. One of the methods to achieve a high level of quality in education system is knowledge discovery for prediction of students' enrollment in a specific field. This knowledge is hidden in educational and motivational data. It is extractable by data mining techniques. The present article is designed to justify the capabilities of data mining methods in education by presenting a data mining method. In this research classification is used for evaluating the students' performance. There are many methods for predicting students' Performance in different fields. Here artificial neural (ANN) is used. With this method we extract the knowledge which describes the students' performance in the final exams. This method is suitable for identifying appropriate field for the students and they will succeed in the field.
— Activation function, artificial neural networks, data mining training, multilayer perceptron networks.
Sayyed Majid Mazinani is with the Department of Electrical and Computer Engineering, Imam Reza University, Mashhad, Iran (email: email@example.com).
Sayyede Azam Abolghasempur is with the Science and Research Unit, Islamic Azad University, khorasan Razavi, Iran (email: firstname.lastname@example.org).
Cite: Sayyed Majid Mazinani and Sayyede Azam Abolghasempur, " Prediction of Success or Fail of Students on Different Educational Majors at the End of the High School with Artificial Neural Networks Methods," International Journal of Innovation, Management and Technology vol. 4, no. 5, pp. 461-465, 2013.