Class scheduling by neurocomputing: a comparison with the expert system approach

Author

Tsutsui, Shigeyoshi ; Fujimoto, Yoshiji

Author_Institution

Dept. of Manage. & Comput. Sci., Hannan Univ., Osaka, Japan

fYear

1990

fDate

4-7 Nov 1990

Firstpage

227

Lastpage

232

Abstract

A university class scheduling support system based on neurocomputing is described. The structure and effectiveness of this system are described. The scheduling problem is divided into a number of steps, and a Hopfield-type network is applied to each step. The results confirm that a good system can be constructed. The neurocomputing approach is compared to the rule-based expert system approach previously applied to the same problem. It is concluded that each has advantages and that, in building design-type expert systems, a trend will be to combine the neurocomputing and rule-based approaches

Keywords

educational administrative data processing; neural nets; scheduling; Hopfield-type network; educational computing; neural nets; neurocomputing; university class scheduling support system; Algorithm design and analysis; Computer science; Constraint optimization; Education; Expert systems; Laboratories; Power generation economics; Processor scheduling; Research and development; Research and development management;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 1990. Conference Proceedings., IEEE International Conference on

Conference_Location

Los Angeles, CA

Print_ISBN

0-87942-597-0

Type

conf

DOI

10.1109/ICSMC.1990.142098

Filename

142098