人工神经网络在教学质量评估体系中的应用研究

The Application Research on Evaluation of Quality of Teaching Based on Artificial Neural Network

本文利用神经网络方法建立教学质量评估系统的模拟模型,将需评价指标概念量化成确定的数据作为其输入,教学效果作为输出,基于拟牛顿回退法训练神经网络,经仿真计算证明,该模型具有较好的辨识精度。最后得出数字化的评估结果,能准确、直观地反映教学质量的优劣,通过实验证明模拟模型的可行性。

An evaluation of quality of teaching model is founded on neural network in the paper. Will need to evaluate index sign amount of concept become the certain data is used as its importation, the teaching effect conduct and actions outputs, Based on BFGS training the nerve network and after simulation computation proof, this model has well recognizes the precision. Finally obtains digitized the appraisal result, can be accurate, irect - viewing reflect the teaching quality, the fit and unfit uality, proves the analog modeling through the experiment the feasibility.