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导弹目标识别的最小贝叶斯风险分类器
Bayes Risk Classifier for Missile Targets
【摘要】 在贝叶斯决策理论的基础上,通过划分目标特性空间的方法,推导了目标分类问题的总风险表达式。并根据导弹目标识别的特点,建立了导弹目标识别的最小贝叶斯风险模型,给出了基于风险分析的导弹目标识别的具体实现方法。最后,依据导弹目标的实际情况给出了仿真参数并进行了仿真试验,试验结果证明了本方法的有效性。
【Abstract】 The average risk expression of classification problem is derived by dividing the feature space on the basis of Bayes decision theory.According to the features of missile targets,we constructed the Bayes risk classifier for missile targets.A practical warhead recognition procedure is presented based on risk analysis.The recognition model has been evaluated with practical parameters and the results are reported.
【关键词】 导弹目标;
弹头识别;
贝叶斯决策;
贝叶斯风险;
【Key words】 missile; warhead recognition; Bayes decision; Bayes risk;
【Key words】 missile; warhead recognition; Bayes decision; Bayes risk;
- 【文献出处】 现代防御技术 ,Modern Defence Technology , 编辑部邮箱 ,2012年01期
- 【分类号】TJ760
- 【被引频次】4
- 【下载频次】220