Multi-strategy combined learning mechanism suitable for designing expert system
| Autor: | Zhigang Li, Ling-Ling Li, Chun-Lai Zhou, Zhao-Hui Gao |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
Learning classifier system
Artificial neural network Active learning (machine learning) Computer science business.industry Algorithmic learning theory Multi-task learning Analogy Legal expert system computer.software_genre Machine learning Fuzzy logic Robot learning Expert system Computational learning theory Inductive transfer Instance-based learning Artificial intelligence Hyper-heuristic business Evolution strategy computer |
| Zdroj: | Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693). |
| DOI: | 10.1109/icmlc.2003.1259889 |
| Popis: | The complicacy of designing products induces the complicacy of designing expert system. The machine learning of this kind of system is difficult to be realized. In this paper, a kind of multi-strategy combined learning mechanism is presented, which combines the learning by analogy based on pattern matching and the self-adaptive learning based on evolution strategy as well as deductive learning based on fuzzy logic together, and overcomes the shortage of single machine learning and can be used for reference by other designing expert systems. |
| Databáze: | OpenAIRE |
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