A multi hidden recurrent neural network with a modified grey wolf optimizer

Identifying university students' weaknesses results in better learning and can function as an early warning system to enable students to improve. However, the satisfaction level of existing systems is not promising. New and dynamic hybrid systems are needed to imitate this mechanism. A hybrid s...

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Veröffentlicht in:	PloS one 2019-03, Vol.14 (3), p.e0213237
Hauptverfasser:	Rashid, Tarik A, Abbas, Dosti K, Turel, Yalin K
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analysis Area Under Curve Artificial intelligence Artificial neural networks Biology and Life Sciences College students Colleges & universities Comparative analysis Computer and Information Sciences Decision making Early warning systems Engineering and Technology Humans Hybrid systems Logistic Models Model accuracy Neural networks Neural Networks, Computer Physical Sciences Problems Recurrent neural networks Research and Analysis Methods ROC Curve Students
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