| Autor: |
Xiong, Fan—Lun, Zhu, Lei, Xiong, Jiang—tian, Tu, Ren—shou |
| Zdroj: |
IFAC-PapersOnLine; May 1995, Vol. 28 Issue: 4 p37-41, 5p |
| Abstrakt: |
In this paper, FIP, a case—based reasoning system is described. FIP makes its inference based on past cases and learns forecasting knowledge throug h cases to improve the problem-solving capabilities of an expert system. FIP is a reactive forecaster that when gathering new observations can immediately generate a new case to cope with the new situations. As a learner, FIP is capable of learning success and failure during its problem-solving process. The case memory, inference engine, and learning strategy are introduced. |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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