Model and research on score evaluation model of graduation thesis

Hong-ben Mao, Q. Jiang, Ai-hua Zhou, Shifa Wang
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Abstract

The score evaluation of graduation thesis is an important means to inspect, evaluate and promote graduation thesis. In this paper, by using the significance test method of the multivariate statistical analysis, we examined the impact significance of each evaluation index on graduation thesis total evaluation result, based on this to select the appropriate evaluation index and to construct a score evaluation model. By means of BP neural network, we constructed the non-linear model between the graduation thesis evaluation indices and overall mark, and finally formed an effective score evaluation method on graduation thesis.
毕业论文分数评价模型与研究
毕业论文评分是对毕业论文进行考察、评价和推广的重要手段。本文采用多元统计分析的显著性检验方法,检验各评价指标对毕业论文总评价结果的影响显著性,在此基础上选择合适的评价指标,构建分数评价模型。利用BP神经网络,构建毕业论文评价指标与总体评分之间的非线性模型,最终形成一种有效的毕业论文评分方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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