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作 者:李艳[1,2] 张琛[1,2] 倪丽萍[1,2] 何畏[3] 潘莉[4]
机构地区:[1]合肥工业大学管理学院,安徽合肥230009 [2]合肥工业大学过程优化与智能决策教育部重点实验室,安徽合肥230009 [3]安徽医科大学卫生管理学院,安徽合肥230032 [4]合肥工业大学马克思主义学院,安徽合肥230009
出 处:《合肥工业大学学报(自然科学版)》2015年第12期1706-1710,共5页Journal of Hefei University of Technology:Natural Science
基 金:国家自然科学青年基金资助项目(71301041);国家社会科学青年基金资助项目(13CKS044);中央高校基本科研业务费专项资金资助项目(2012HGXJ0103)
摘 要:心理资本是个体在成长和发展过程中表现出来的一种积极心理状态,包含自我效能、乐观、韧性、感恩、兴趣等多种属性,具有分形特征。文章利用分形维数求权重的方法,对某高校大学生心理资本进行分类(高、低、中)分析,阐述利用分形维数求权重的方法对心理资本分类的具体步骤。为了分析方法的有效性,结合SVM分类算法和5-fold交叉验证相结合的方法,对心理资本赋予分形维数权重前、后的分类准确率进行分析,实验表明该方法具有较高的有效性和可行性,能更客观地反映评判对象的差异。Psychological capital(PC) is the positive psychology represented in the growth and development of an individual, which includes multiple attributes, such as efficacy, optimism, resiliency, gratitude and interest. And it shows the fractal characteristics. In this paper, through the method of weight calculation using the fractal dimension, the classification analysis of psychological capital of undergraduates in a college was carried out, and the concrete classification steps were expatiated. To evaluate the efficiency of the method, the SVM algorithm and 5-fold cross validation were utilized to evaluate the classification accuracy on one data set. The experimental results show that the method has high effectiveness and feasibility, and it is more objective in evaluating the difference of psycholog ical capital of undergraduates.
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