Using an Enhanced Feed-Forward BP Network for Predictive Model Building From Students’ Data

Using an Enhanced Feed-Forward BP Network for Predictive Model Building From Students’ Data

Feed-forward, Back Propagation (BP) Network is a network structure capable of modeling the class prediction as a nonlinear combination of the inputs. The network has proven its suitability in solving several complex tasks, most especially when trained with appropriate algorithms. This study presen...

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Bibliographic Details
Main Authors: Ajiboye, Adeleke Raheem, Ruzaini, Abdullah Arshah, Qin, Hongwu
Format: Article
Language:English
Published: Taylor & Francis 2015
Subjects:
QA75 Electronic computers. Computer science
Z665 Library Science. Information Science
ZA4450 Databases
Online Access:http://umpir.ump.edu.my/id/eprint/12850/
http://umpir.ump.edu.my/id/eprint/12850/
http://umpir.ump.edu.my/id/eprint/12850/
http://umpir.ump.edu.my/id/eprint/12850/1/Using%20an%20Enhanced%20Feed%20Forward%20BP%20Network%20for%20Predictive%20Model%20Building%20from%20Students%20Data.pdf

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http://umpir.ump.edu.my/id/eprint/12850/
http://umpir.ump.edu.my/id/eprint/12850/
http://umpir.ump.edu.my/id/eprint/12850/
http://umpir.ump.edu.my/id/eprint/12850/1/Using%20an%20Enhanced%20Feed%20Forward%20BP%20Network%20for%20Predictive%20Model%20Building%20from%20Students%20Data.pdf

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