Neural network based DSS for advising students in the school of business

Masood A. Badri

Neural network based DSS for advising students in the school of business

Masood A. Badri

Research output: Contribution to conference › Paper › peer-review

Abstract

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 back propagation 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 experimentation atmosphere it provides. The system gives new students their GPA if they are to choose a certain major.

Original language	English
Pages	3533-3538
Number of pages	6
Publication status	Published - Dec 1 1999
Event	International Joint Conference on Neural Networks (IJCNN'99) - Washington, DC, USA Duration: Jul 10 1999 → Jul 16 1999

Other

Other	International Joint Conference on Neural Networks (IJCNN'99)
City	Washington, DC, USA
Period	7/10/99 → 7/16/99

ASJC Scopus subject areas

Software
Artificial Intelligence

Cite this

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abstract = "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 back propagation 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 experimentation atmosphere it provides. The system gives new students their GPA if they are to choose a certain major.",

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Neural network based DSS for advising students in the school of business

Abstract

Other

ASJC Scopus subject areas

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