基于改进树路径匹配的人才培养模式识别算法研究

Research on Personnel Training Pattern Recognition Algorithm Based on Improved Tree Path Matching

针对当前人才培养模式识别算法的识别时间较长、识别精度较低的问题,提出基于改进树路径匹配的人才培养模式识别算法。通过划分不同应用状态下的人才培养模式,采用改进树路径匹配算法,构建树路径模型,利用文档对象模型树实现模式匹配。将根节点作为初始节点并匹配因素最多路径,运用层次聚类算法,建立距离矩阵,设立模式匹配相似度要素,将模型内距离最近的簇实施合并,获得高精度人才培养模式识别模型,实现人才培养模式识别。实验结果表明,所提方法的模式识别时间较短,模式识别结果满意度较高,能够有效提高模式识别精度。

In order to solve the problem of long recognition time and low recognition accuracy of current talent training pattern recognition algorithm,a talent training pattern recognition algorithm based on improved tree path matching is proposed.By dividing the talent training modes under different application states,the improved tree path matching algorithm is used to construct the tree path model,and the document object model tree is used to realize the pattern matching.Taking the root node as the initial node and matching the path with the most factors,the hierarchical clustering algorithm is used to establish the distance matrix,set up the similarity elements of pattern matching,and merge the nearest clusters in the model to obtain a high-precision talent training pattern recognition model to realize talent training pattern recognition.Experimental results show that the time of pattern recognition is short,the satisfaction of pattern recognition results is high,and the accuracy of pattern recognition can be effectively improved.