基于多元统计—神经网络的教学质量评估模型
Teaching Quality Appraisal Model Based on Multivariate Statistical-Neural Network
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摘要: 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.Abstract: 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.