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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fu, L. |
| Copyright Year | 1992 |
| Description | Author affiliation: Dept. of Comput. & Inf. Sci., Florida Univ., Gainesville, FL, USA (Fu, L.) |
| Abstract | Knowledgetron, a novel intelligent system which derives rule-based expert systems from neural networks trained by a special computational model, is described. The knowledge of such neural networks is extracted and represented as production rules. The main consideration is that the generated rule-based system perform as well as the original neural network. The system consists of two coupled components. One is the KTBP trainer, which is applied to a multilayer neural network for learning from the data. The trained neural network is translated into a rule-based system by the second component, the KT translator. The feasibility and validity of Knowledgetron have been demonstrated on both small and large neural networks for practical applications. |
| Starting Page | 343 |
| Ending Page | 348 |
| File Size | 431254 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780305590 |
| DOI | 10.1109/IJCNN.1992.287188 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1992-06-07 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Neural networks Knowledge based systems Multi-layer neural network Intelligent systems Computational intelligence Intelligent networks Expert systems Computer networks Computational modeling Data mining |
| Content Type | Text |
| Resource Type | Article |
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