摘要
利用系统控制理论,针对高职实践教学质量的评价问题,建立一个基于BP神经网络的评价模型,利用实际数据对网络模型进行训练和预测。测试结果表明,所建立的网络模型可以较好反映高职实践教学质量的好坏,系统预测值和评价目标值吻合较好,相关系数可达0.9897,具有良好的仿真预测能力。
Using system control theory, evaluation of practical teaching quality in Higher Vocational Colleges, establishing an evaluation model based on BP neural network, training and forecasting network models using actual data. Test results show that, the established network model can better reflect the quality of practical teaching in higher vocational colleges. The predictive values of the network were in good agreement with the experimental results, and the correlation coefficient was 0.9897. These results indicated that the network had an excellent training accuracy and generalization ability.
作者
关成立
杨岳
GUAN Cheng-li;YANG Yue
出处
《信息技术与信息化》
2018年第11期158-159,167,共3页
Information Technology and Informatization
基金
广东省普通高校青年创新人才项目(2017GKQNCX094
2017GKQNCX096)
阳江职业技术学院教改项目(2018jgyb13)
阳江职业技术学院科技项目(2017kj11
2017kj07)
关键词
系统控制理论
BP神经网络
高职实践教学质量
评价
system control theory
BP neural network
higher vocational practice teaching quality
evaluate