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Student academic failure prediction is still interesting topics in the Educational Data Mining. One of the challenges is how to predict student academic failure as early as possible. This research focuses on predictive modeling of unsuccessful students in the first year evaluation. We propose a new concept of predictive modeling of the first year evaluation which combines 3 input data: demographics,...
Forecasting traffic flow is a popular research topic in Intelligent Transportation System. There have been several methods used for this forecasting, such as statistical methods, Bayesian Network, Neural Network Model, Hybrid ARIMA and ANN. Generalized Regression Neural Network (GRNN) is an interesting model to be used in forecasting traffic flow, as it can predict data with dynamic change and non-linear...
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