|
Repository Universitas Gunadarma >
E-Journal >
E-Journal Teknologi Industri >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/649
|
| Title: | Generic Expert System – Incremental Learning System |
| Authors: | Sartika, Yanti Supriana Suwardi, Iping |
| Keywords: | Incremental Learning System Generic Expert System |
| Issue Date: | 17-Jun-2007 |
| Publisher: | Proceedings of the International Conference on Electrical Engineering and Informatics |
| Series/Report no.: | B-45; |
| Abstract: | This paper discuss the development method of a generic knowledge-based expert system as an incremental learning system that can be used for finding the relations between the common input parameters and predict the behavior of the relations. Generic expert systems are reasoning systems that can be used in many application domains, thus requiring domain independence.The user interface for a generic expert system must contain an intelligence in order to maintain this domain independence and manage the complex interactions between the user and the expert system. A generic framework of an expert system should help to model the common behavior of the input relations in many application domains by analyzing the common parameters in the application domains which are given by the user. |
| URI: | http://hdl.handle.net/123456789/649 |
| ISSN: | 978-979-16338-0-2 |
| Appears in Collections: | E-Journal Teknologi Industri
|
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
|