基于模糊二叉树支持向量机的空袭目标属性识别

Attribute Recognition of Air Raid Target based on Fuzzy Binary Tree Support Vector Machine

针对现有空袭目标属性识别方法存在的不足,提出了一种基于模糊二叉树支持向量机的空袭目标属性识别技术。该方法充分发挥了模糊二叉树支持向量机解决二类分类问题的优势,有效地提高了识别率和识别速度。最后给出了与现有识别方法的比较结果,证明了该方法的有效性。

Considering the existing attribute recognition of air attack target is not fully idea,a new technology based on fuzzy binary tree support vector machine（FBTSVM） is presented.The method exerts the superiority of FBTSVM for twoclass classification and improves the rate of recognition.At last the result comparing to existing recognition methods shows the efficiency of this new method.