Analyzing Creativity of Students with Neural Networks

摘要：

Creativity of middle school students was measured with Williams Creativity Test B (WCTB) and Adolescent Scientific Creativity Scale (ASCS). The SOM neural network was used to cluster the data, and three categories were obtained. 70％ of the students were used as modeling group, and the other as testing group. Using generalized regression neural network (GRNN) and multivariable linear regression (MLR) to set model and test respectively. Scores of WCTB were used as input and independent variable, ASCS scores used as output and dependent variable. The result showed GRNN was better than MLR.

关键词： neural networks clustering multivariable regression creativity measurement

作者: Jiayuan Yu

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

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 118-121

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）