Citation
Yahia, Moawia Elfaki and Mahmod, Ramlan
(1999)
Hybrid expert system of rough set and neural network.
Malaysian Journal of Computer Science, 12 (1).
pp. 1-8.
ISSN 0127-9084
Abstract
The combination of neural network and expert system can accelerate the process of inference, and then rapidly produce associated facts and consequences. However, neural network still has some problems such as providing explanation facilities, managing the architecture of network and accelerating the training time. Thus to address these issues we develop a new method for pre-processing based on rough set and merge it with neural network and expert system. The resulting system is a hybrid expert system model called a Hybrid Rough Neural Expert System (HRNES).
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Official URL or Download Paper: http://e-journal.um.edu.my/publish/MJCS/136-150
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Science and Environmental Studies |
| Publisher: | Faculty of Computer Science and Information Technology, University of Malaya |
| Keywords: | Hybrid systems; Expert systems; Rough sets; Neural networks; Data pre-processing |
| Depositing User: | Nabilah Mustapa |
| Date Deposited: | 30 Dec 2016 02:49 |
| Last Modified: | 30 Dec 2016 02:49 |
| URI: | http://psasir.upm.edu.my/id/eprint/49451 |
| Statistic Details: | View Download Statistic |
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