人工神经网络在大学生学习水平测试中的应用

关宏波; 石东伟; 李刚

doi:10.3969/j.issn.1004-1478.2011.01.031

January 2011

Article Contents

GUAN Hong-bo, Dong-wei and LI Gang. Application of artificial neural network in evaluation of undergraduates' learning level[J]. Journal of Light Industry, 2011, 26(1): 122-124. doi: 10.3969/j.issn.1004-1478.2011.01.031

Citation: GUAN Hong-bo, Dong-wei and LI Gang. Application of artificial neural network in evaluation of undergraduates' learning level[J]. Journal of Light Industry, 2011, 26(1): 122-124. doi: 10.3969/j.issn.1004-1478.2011.01.031 shu

Application of artificial neural network in evaluation of undergraduates' learning level

Dept. of Math. and Infor. Sci., Zhengzhou Univ. of Light Ind., Zhengzhou 450002, China;
Dept. of Math., He'nan Inst. of Sci. and Tech., Xinxiang 453003, China

Received Date: 2010-10-23
Available Online: 2011-01-15

Abstract

The construction of a nonlinear model is intended for the evaluation of students learning level through the application of the effective standard score in artificial neural network theory,aiming at achieving an overall evaluation of undergraduates' learning level,so as to stimulate students' learning initiative and exploit their potentialities in study.
- learning level evaluation,
- artificial neural network,
- nonlinear model
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沈阳化工大学材料科学与工程学院沈阳 110142

Application of artificial neural network in evaluation of undergraduates' learning level

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通讯作者: 陈斌, bchen63@163.com