Evaluation Performance of Students by use Neural Network in Kazakhstan
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Date
2013
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Faculty of Engineering and Natural Science
Abstract
This thesis evaluates the ability of Artificial Neural Networks (ANN) to predict the performance of Taldykorgan Kazakh Turkish High School students in Kazakhstan. Educational institutions take a big part in people life.School administrators and student's parents pay attention for the performance of the students. Academic researchers have developed several models to predict the improve the performance. Artificial Neural Networks have the potential to provide human characteristics of problem solving that are so difficult to simulate using the analytical. logical techniques of Decision Support System(DSS) . ANN can analyze big quantities of data to establish patterns and characteristics in situations where the rules or logic are not known(Turban,et al.2006). ANN model is designed, built on available student's data. The TANI forecasting program of ANN is used to predict the student's performance based on inputs and output parameters. N This study's result. shows that the neural network model can predict student's real performance with very small errors and predicts better when the today’s and future's samples have similar characteristics
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Halil A / Evaluation Performance of Students by use Neural Network in Kazakhstan / 2013 / 6M070400— «Computing systems and software»