基于动态多叉树的大气环境质量评价方法的研究

Research on air quality assessment based on dynamic multi branch tree

提出将动态多叉树算法应用于大气环境质量评价系统中,实现知识增值和继承。当系统扩充时,只需对增加的模式类别或训练样本构建新的分类器,其余的分类器可保持不变,从而很好地解决现有评价识别系统在学时新知识会破坏已有知识,需要重新学习的问题。结果表明利用动态多叉树算法进行大气环境质量评价的研究具有传统方法无法比拟的优势。

This paper proposed dynamic multi-branches tree algorithm and applied to air quality assessment system to implement the increment and inheritance of system. It was only to make new classifier of pattern classes or training samples and reserve other classifiers when system was extended. It could solve the problem which will destroy current knowledge and need study over again when it studied new knowledge. The results show that dynamic multi-branches tree algorithm-aided evaluation of air quality assessment is more advanced than the traditional methods.