摘要
Battlefield environment affects maneuver and war situation. We choose the battle position though training support vector machine (SVM). We give firstly the method of two-class classification by means of SVM. Choosing of battle position is a problem of multi-class classification, so we adopt "divide and conquer" approach to train the data set. We use recursively SVM until the result meets the condition of battle position. In the course of training the data, we use one-against-one and the decision tree methods. Using the schemes, we select the suited battle position and get better effect.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings of 2002 International Conference on Machine Learning and Cybernetics |
| 页 | 18-20 |
| 页数 | 3 |
| 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
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Li, K., & Liu, Y. S. (2002). Choosing of battle position through training support vector machines. 在 Proceedings of 2002 International Conference on Machine Learning and Cybernetics (页码 18-20). (Proceedings of 2002 International Conference on Machine Learning and Cybernetics; 卷 1).