基于灰色关联分析和神经网络的多媒体教学质量评估

Multimedia teaching quality assessment based on grey relational analysis and neural network

针对多媒体教学质量评估过程存在一些缺陷,设计基于灰色关联分析和神经网络的多媒体教学质量评估方法。首先,分析当前多媒体教学质量评估现状,构建多媒体教学质量评估指标;然后,采用灰色关联分析法确定多媒体教学质量评估指标的权值,采用神经网络建立多媒体教学质量等级的分类器;最后,与其他多媒体教学质量评估方法进行仿真测试。结果表明,所提方法的多媒体教学质量评估正确率超过95%,而对比方法的多媒体教学质量评估正确率均低于95%,同时,多媒体教学质量评估建模效率也明显改善,为多媒体教学质量评估提供了一种新的研究方法。

Since there are some shortcomings existing in the process of multimedia teaching quality assessment,a method of multimedia teaching quality assessment based on grey correlation analysis and neural network is designed. The current situation of multimedia teaching quality assessment is analyzed,and the assessment index of multimedia teaching quality is constructed. The weight of multimedia teaching quality assessment index is determined with the grey relational analysis method,and the classifier of multimedia teaching quality grade is established by the neural network. Finally,the simulation test is carried out to make comparison with other multimedia teaching quality assessment methods. The results show that the accuracy of multimedia teaching quality assessment obtained with the proposed method is above 95%,while that with other methods is below95%. At the same time,the modeling efficiency of multimedia teaching quality assessment is improved obviously. Therefore,the proposed method provides a new method for multimedia teaching quality assessment.