Title :
Students Creativity Modeling with Gene Expression Programming
Author :
Qian, Jinxin ; Yu, Jiayuan
Author_Institution :
Dept. of Psychol., Nanjing Normal Univ., Nanjing, China
Abstract :
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.
Keywords :
evolutionary computation; neural nets; psychology; regression analysis; ASCS; GEP model fitting error; GRNN model fitting error; MLR model fitting error; WCTB; Williams creativity test B; adolescent scientific creativity scale; creative affective creativity; gene expression programming; generalized regression neural network; middle school students; multivariable linear regression; scientific creativity; students creativity modeling; Biological cells; Educational institutions; Gene expression; Mathematical model; Programming; Testing; Training; creativity; gene expression programming; modeling; neural networks;
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0689-8
DOI :
10.1109/ICCSEE.2012.390
