摘要
BP神经网络技术作为一种新技术,为模式识别、非线性分类等开辟了新的途径,在许多测评应用中得到广泛应用。主要将BP网络技术引入到高校英语教学测评体系中,克服了许多人为因素对测评结果的影响。在传统教学质量评价方法的基础上,采用神经网络的方法来对数据进行处理,将教学计划制定的合理性以及课程建设的系统性融合进评价指标中,为全面提升高校英语教学质量提供有效的评价工具。在实际应用中具有一定的推广价值。
As a new technology,the BP neural network is widely used in measurement,pattern recognition and nonlinear classification. In this paper,BP network technology is introduced into the college English teaching evaluation system.It overcomes the influence of many human factors on the evaluation results.On the basis of the traditional teaching quality evaluation method, the method of neural network is used in data processing,the rationality of the teaching plan and the construction of the systematic formulation are combined into the evaluation index system.It provides effective evaluation tool to improve college English teaching quality,and also has certain promotion value in practical application.
作者
王娇
WANG Jiao(Basic Course Department,Shanxi Institute of International Trade and Commerce,Xianyang 712046)
出处
《微型电脑应用》
2018年第12期15-17,共3页
Microcomputer Applications
基金
横向课题(SWWX001)
