A Grading-consideration System for Advising Undergraduate Student Registration by Neural Network

Thumbnail Image
File(s)
Author(s)
Other Contributor(s)
University of the Thai Chamber of Commerce. Graduate School
Publisher(s)
University of the Thai Chamber of Commerce
Date Issued
1998
Resource Type
Text::Thesis::Master thesis
Language
English
Abstract
The objective of this project is to help the academic advisor guide the provative students selecting the appropriate course. The constraints and parameters for selecting any course being registered are based on the student's previous grade in each enrolled subject. Since these constraints and parameters tremendously diversify, it is rather difficult to from a set of decision rules. The other effective mean must be presented. The neural network is used by technique which we call Backpropagation. Our study and experiments signify that the neural network approach is a good solution to this problem.
Subject(s)
Degree Level
masters
Degree Department
School of Science and Technology
Degree Grantor
University of the Thai Chamber of Commerce
Access Rights
Open access
Rights
This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
Rights Holder
University of the Thai Chamber of Commerce
Bibliographic Citation
Adisak Sangbunnark (1998) A Grading-consideration System for Advising Undergraduate Student Registration by Neural Network.
URI