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| 基于贝叶斯网络的海上目标识别 | |
| 引用本文： | 肖秦琨. 基于贝叶斯网络的海上目标识别[J]. 微机发展, 2005, 15(10): 152-154 |
| 作者姓名： | 肖秦琨 |
| 作者单位： | 西安工业学院电子信息学院 陕西西安710032 |
| 摘 要： | 贝叶斯分类器是使错误分类概率最小的最优方法,但必须具备先验知识,计算量也很大,从而增加了实时应用的复杂性。提出基于贝叶斯网络海上目标识别,结合贝叶斯网络对不确定事件强的推理作用,以及贝叶斯理论的数学基础,应用图形模式,使得计算量大大简化,降低了实用的复杂性。 |
| 关 键 词： | 贝叶斯网络 不确定推理 目标识别 |
| 文章编号： | 1005-3751（2005）10-0152-03 |
| 收稿时间： | 2004-12-22 |
| 修稿时间： | 2004-12-22 |
Identify Object on Sea Based on Bayes Network |
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| Xiao QinKun. Identify Object on Sea Based on Bayes Network[J]. Microcomputer Development, 2005, 15(10): 152-154 | |
| Authors: | Xiao QinKun |
| Abstract: | A classify tool based on bayes theory is best way that make minimal error.If want to use this way,must master enough prior knowledge.That waster lots of time to calculate.This paper thinks out a good idea to identify an object on sea based on bayes network.It is no bad way because of inference and express method of unceitain knowledge as well as graphics mode.So this method uses less time to get result. |
| Keywords: | bayes network inference method of unceitain knowledge identify object |
| 本文献已被 CNKI 维普 等数据库收录！ | |