The Application of Neural Networks and Rough Set in Creativity Measurement
Jiayuan Yu · 2010
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. Generalized regression neural network (GRNN) and multivariable linear regression (MLR) were used for modeling and testing. The result showed the fitting error of GRNN model was lower than the error of MLR. In the rough set analysis, the data was discretized with SOM network. After attribute reduction, eight rules were extracted.