Prediction of engineering students’ academic performance using neural network and linear regression / Pauziah Mohd Arsad
This thesis describes the development of Electrical Engineering students’ performance prediction model using Artificial Neural Network (ANN) based on SIMS data from three generations of Matriculation and Diploma students. It was observed that there was a certain pattern or trend between the strong a...
Main Author: | Mohd Arsad, Pauziah |
---|---|
Format: | Book Section |
Language: | English |
Published: |
Institute of Graduate Studies, UiTM
2016
|
Subjects: | |
Online Access: | http://ir.uitm.edu.my/id/eprint/19621/ http://ir.uitm.edu.my/id/eprint/19621/1/ABS_PAUZIAH%20MOHD%20ARSAD%20TDRA%20VOL%209%20IGS%2016.pdf |
Similar Items
-
Prediction of engineering students' academic performance using neural network and linear regression / Pauziah Mohd Arsad
by: Mohd Arsad, Pauziah
Published: (2016) -
Classification and identification of power system disturbances using wavalet and artificial neural network technique / Noraliza Hamzah, W. Norainin W. Abdullah and Pauziah Mohd Arsad
by: Hamzah, Noraliza, et al.
Published: (2005) -
The service quality of computer laboratory's facility in FTMSK : student's satisfaction / Mazliani Arsad
by: Arsad, Mazliani
Published: (2006) -
Food intake calorie prediction using generalized regression neural network
by: Gunawan, Teddy Surya, et al.
Published: (2019) -
Load forecasting using combination model of multiple linear regression with neural network for Malaysian city
by: Nur Arina Bazilah Kamisan,, et al.
Published: (2018)