分类算法在范例推理中的研究与应用

摘要

This paper presents the class-centre vector based category algorithm,which is regarded as the basis of the text classification in case-based reasoning application. On the basis of the proposed algorithm,this method can be used to determine those cases' affiliation,and as a result this can reduce the retrieval scope so as to reduce the calculation and improve the precision. We use the proposed algorithm in the traffic accident analysis and the corresponding early warning system. The experimental results and the analysis prove the feasibility of the approach,and the existing problems and further works are also discussed in the end.%将范例推理中的范例初步匹配看作文本分类的特殊情形,提出基于类别中心向量的分类算法.通过确定待处理案例的归属类别,缩小范例检索范围,减少在范例精确匹配阶段的计算量,提高案例初步匹配的准确性.在此基础上,将上述算法应用在对交通事故案例的处理与交通信息预警系统中.实验与使用表明,该算法能较为准确地判断事故类型并给出相应的预警信息.