An enhanced feed-forward neural networks and a rule-based algorithm for predictive modelling of students' academic performance

An enhanced feed-forward neural networks and a rule-based algorithm for predictive modelling of students' academic performance

Feed-forward Neural Networks, is a multilayer perceptron and a network structure capable of modelling the class prediction as a nonlinear combination of the inputs. The network has proven its suitability in solving several complex tasks. But sometimes, it has challenges of over-fitting, especially w...

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書目詳細資料
主要作者:	Raheem, Ajiboye Adeleke
格式:	Thesis
語言:	English
出版:	2016
主題:	Q Science (General) T Technology (General)
在線閱讀:	http://umpir.ump.edu.my/id/eprint/15251/1/An%20enhanced%20feed-forward%20neural%20networks%20and%20a%20rule-based%20algorithm%20for%20predictive%20modelling%20of%20students%27%20academic%20performance.pdf
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