基于多元统计—神经网络的教学质量评估模型

给出了基于多元统计—BP神经网络的教学质量评估模型,先采用相关分析、主成分分析对其影响因子作评价和预处理分析,然后以BP神经网络模型作预测,并在Matlab中实现.结果表明,基于多元统计—BP神经网络的教学质量评估模型,既克服了在评估过程中的主观因素,又得到了满意的评估结果,具有广泛的适用性.

Teaching Quality Appraisal Model Based on Multivariate Statistical-Neural Network

Teaching quality appraisal model based on multivariate statistical-neural network was proposed and was accomplished in Matlab, in which the relativity analytical technology and principle components analysis were used to appraisal and pre-handle analysis the influence factors, and BP neural network model was used for forecasting. The results indicated that the model based on multivariate statistical-BP neural network can avoid subjective impact of human and gained recognized conclusion. So, the model has broad applicability.