基于BP神经网络的本科教育质量综合评价分析——以江苏省为例
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摘要
通过对江苏省各大本科院校的信息进行量化分析后,得出各项指标的可视化数据,运用均值分析、方差分析等对各市级数据进行分析。我们运用统计累加法、行为锚定量化方法、权重分析法等不同的量化分析法,把各种信息转化成我们可视化的数据,把各个市的数据进行平均求值,最终求得13个市的各项平均指标。再利用SPSS软件进行数据的均值、方差、比对分析。通过对已知的各项数据进行神经网络算法评价,得出各市级教学质量的排名与各指标所占权重。对13个地市级的教育质量进行综合评价与因素分析,最后给出有效提升江苏省本科教育质量的政策建议。
Through the quantitative analysis of the information of major universities in Jiangsu Province,the visual data of each index are obtained. Mean value analysis and variance analysis are used to analyze the data of each municipal level. We use different quantitative analysis methods,such as statistical cumulative method,behavior anchor quantitative method,weight analysis method,to convert various information into our visualized data,to average the data of each city,and ultimately to obtain the average indicators of 13 cities. Then SPSS software is used to analyze the mean,variance and comparison of data. Through the evaluation of the known data and the neural network algorithm,the ranking of teaching quality and the weight of each index are obtained. Comprehensive evaluation and factor analysis of the quality of education at 13 municipal levels are carried out. Finally,suggestions are given to effectively improve the undergraduate education policy in Jiangsu Province.
Through the quantitative analysis of the information of major universities in Jiangsu Province,the visual data of each index are obtained. Mean value analysis and variance analysis are used to analyze the data of each municipal level. We use different quantitative analysis methods,such as statistical cumulative method,behavior anchor quantitative method,weight analysis method,to convert various information into our visualized data,to average the data of each city,and ultimately to obtain the average indicators of 13 cities. Then SPSS software is used to analyze the mean,variance and comparison of data. Through the evaluation of the known data and the neural network algorithm,the ranking of teaching quality and the weight of each index are obtained. Comprehensive evaluation and factor analysis of the quality of education at 13 municipal levels are carried out. Finally,suggestions are given to effectively improve the undergraduate education policy in Jiangsu Province.
引文
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[2]Wu X,Chen Y,Zhang J,et al.On Improving Higher Vocational College Education Quality Assessment[J].Physics Procedia,2012,33(6):1128-1132.
[3]沈玉顺.高校教学质量保障的思想与实践[M].上海:文汇出版社,2003.
[4]贺仲雄.模糊数学及其应用[M].天津:天津科学技术出版社,1983.
[5]丁毅,沈西挺,任柯燕,等.基于模糊综合评判的教师效绩评价系统的开发[J].计算机应用与软件,2008(6):178-180.
[6]李祚泳.城市综合环境质量的物元分析评价[J].环境科学,1995(5):76-78+88+96.
[7]Jerome H.Friedman,John W.Tukey.A projection pursuit algorithm for exploratory data analysis[J].IEEE Trans.Comput.23,1974:881-890.