CAJ | 학술논문

本研究采用频度分析法和领域专家意见相结合，借鉴企业信息化指标的研究结果构建了吉林省高校信息化指标体系；采用了T-S模糊神经网络方法，利用Matlab软件分析，建立高校管理信息化水平评价模型。专家打分200组问卷调查，其中160组结果作为训练样本，40组数据作为测试样本。根据训练好的模型对样本进行测试，训练数据平均误差0.0027，测试数据平均误差0.102。本文研究的T-S模糊神经网络模型应用于预测高校管理信息化评价中可以消除一定的主观因素，得到相对客观的评价结果。
본연구채용빈도분석법화영역전가의견상결합，차감기업신식화지표적연구결과구건료길림성고교신식화지표체계；채용료T-S모호신경망락방법，이용Matlab연건분석，건립고교관리신식화수평평개모형。전가타분200조문권조사，기중160조결과작위훈련양본，40조수거작위측시양본。근거훈련호적모형대양본진행측시，훈련수거평균오차0.0027，측시수거평균오차0.102。본문연구적T-S모호신경망락모형응용우예측고교관리신식화평개중가이소제일정적주관인소，득도상대객관적평개결과。
Combined frequency analysis method with expert scoring method, this study established Jilinσs college informatization index system by taking the study results of enterprise index system as reference.Using T-S fuzzy neural network approach analyzed by Matlab software, the evaluation model of college management informatization level was established. 200 questionnaires were scored by expert group, 160 sets of data as the training sample, 40 sets of data as the test samples. According to the samples testing of trained model, the average error of training data was 0.0027, the average error oftest data was 0.102. The T-S fuzzy neural network model applied in the prediction and evaluation of college management information eliminated some subjective factors and obtained the relatively objective evaluation results.