| 运用概化理论和BP网络进行创造力研究 |
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| 引用本文： | 余嘉元.运用概化理论和BP网络进行创造力研究[J].计算机工程与应用,2011,47(30):8-11. |
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| 作者姓名： | 余嘉元 |
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| 作者单位： | 南京师范大学心理学系,南京,210097 |
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| 基金项目： | 国家社会科学基金项目No.BBA080050; 江苏省教育科学“十一五”规划课题(No.D/2008/01/105)~~ |
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| 摘 要： | 心理学的数据往往是通过主观评判得到的,和物理学的数据相比有较大的误差。以创造力测量为例,运用概化理论对心理测量数据的质量进行了描述。采用BP-Adaboost RT方法对心理测量数据进行建模,并且和多元线性回归、单个BP网络的建模进行了比较,结果表明,概化理论可以用来分析心理测量数据,数据的质量会影响到模型的预测精度。
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| 关 键 词： | 数据质量 概化理论 Adaboost BP神经网络 创造力测量 |
| 修稿时间： | |
Application of generalizability theory and BP network on creativity research |
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| YU Jiayuan.Application of generalizability theory and BP network on creativity research[J].Computer Engineering and Applications,2011,47(30):8-11. |
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| Authors: | YU Jiayuan |
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| Affiliation: | YU Jiayuan Department of Psychology,Nanjing Normal University,Nanjing 210097,China |
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| Abstract: | Psychological data is often obtained from subjective assessment,it has larger error compared with physical data. Creativity measurement data is applied in this study.Generalizability theory is used to describe the quality of psychological data.The model of psychological data is set up by BP-Adaboost RT method,and compared with the multi-variable linear regression model and single BP network model.The results show that generalizability theory can be used to analyze psychological data,and the data quality wil... |
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| Keywords: | data quality generalizability theory Adaboost BP neural networks creativity measurement |
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