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Hybrid expert system of rough set and neural network


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 / Synopsis

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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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 10:49
Last Modified: 30 Dec 2016 10:49
URI: http://psasir.upm.edu.my/id/eprint/49451
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