Students Creativity Modeling with Gene Expression Programming

摘要：

Williams Creativity Test B (WCTB) and Adolescent Scientific Creativity Scale (ASCS) were used to measure the creative affective and scientific creativity for 550 middle school students. In these students, 70％ of them were selected to be as training samples, and the others to be as testing samples. Gene expression programming (GEP), generalized regression neural network (GRNN) and multivariable linear regression (MLR) were used for modeling and testing. The result showed the fitting error of GEP model was the lowest compared with the errors of GRNN and MLR models.

关键词： gene expression programming neural networks creativity modeling

作者: Jinxin Qian Jiayuan Yu

作者单位: Department of Psychology Nanjing Normal University Nanjing 210097, China

会议类型: 国际会议

会议名称: 2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

会议地点: 杭州

会议语种:英文

页码: 582-585

在线出版日期: 2012-03-23（万方平台首次上网日期，不代表论文的发表时间）