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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Bibliographic Details
Main Author: Raheem, Ajiboye Adeleke
Format: Thesis
Language:English
Published: 2016
Subjects:
Q Science (General)
T Technology (General)
Online Access:http://umpir.ump.edu.my/id/eprint/15251/
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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