摘要
Classical K-nn algorithm in CBR has been used widely. But in the actual situation, cases often have kinds of features, and classical K-nn algorithm cannot tackle it well. Other fuzzy K-nn algorithm may apply well to these perspective systems, but they do not adapt to weather prediction. In the paper, we propose our novel fuzzy K-nn algorithm. Because weather is continuous, dynamic, and chaotic, in our algorithm, the time function as the adjustive factors is introduced to similarity-measuring function. Fuzzy logic is used in the retrieval of cases. Then fuzzy K-nn algorithm is proposed. Finally, Experimental results are given and we get better effect.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings of 2002 International Conference on Machine Learning and Cybernetics |
| 页 | 107-110 |
| 页数 | 4 |
| 出版状态 | 已出版 - 2002 |
| 活动 | Proceedings of 2002 International Conference on Machine Learning and Cybernetics - Beijing, 中国 期限: 4 11月 2002 → 5 11月 2002 |
出版系列
| 姓名 | Proceedings of 2002 International Conference on Machine Learning and Cybernetics |
|---|---|
| 卷 | 1 |
会议
| 会议 | Proceedings of 2002 International Conference on Machine Learning and Cybernetics |
|---|---|
| 国家/地区 | 中国 |
| 市 | Beijing |
| 时期 | 4/11/02 → 5/11/02 |
指纹
探究 'Fuzzy case-based reasoning: Weather prediction' 的科研主题。它们共同构成独一无二的指纹。引用此
Li, K., & Liu, Y. S. (2002). Fuzzy case-based reasoning: Weather prediction. 在 Proceedings of 2002 International Conference on Machine Learning and Cybernetics (页码 107-110). (Proceedings of 2002 International Conference on Machine Learning and Cybernetics; 卷 1).