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Download full textKayri, Murat – Educational Sciences: Theory and Practice, 2015
The objective of this study is twofold: (1) to investigate the factors that affect the success of university students by employing two artificial neural network methods (i.e., multilayer perceptron [MLP] and radial basis function [RBF]); and (2) to compare the effects of these methods on educational data in terms of predictive ability. The…
Descriptors: Artificial Intelligence, Influences, Academic Achievement, College Students
