A neural network based DSS for advising students in the school of business

A neural network based system is developed to advise students in a school of business to select among four majors (marketing, finance, management information system, and general business). The three-layer backpropagation system is used after students finish the university course. The system is relia...

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Bibliographic Details
Published inIJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339) Vol. 5; pp. 3533 - 3538 vol.5
Main Author Badri, M.A.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1999
Subjects
Biological neural networks
Decision making
Decision support systems
Economic forecasting
Educational institutions
Finance
Intelligent networks
Neural networks
Power system modeling
Robustness
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Summary:A neural network based system is developed to advise students in a school of business to select among four majors (marketing, finance, management information system, and general business). The three-layer backpropagation system is used after students finish the university course. The system is reliable, easy to use, flexible, robust, and considers many variables that affect performance. The most obvious advantage of using the system has to do with its ease of use and the experimentation atmosphere it provides. The system gives new students their grade point average if they choose a certain major.
ISBN:0780355296
9780780355293
ISSN:1098-7576
1558-3902
DOI:10.1109/IJCNN.1999.836236