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The application on the evaluation of quality of universities undergraduate theory teaching work based on artificial neural network

机译:人工神经网络在高校本科理论课教学质量评价中的应用

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In order to comprehensively evaluate the universities undergraduate theory teaching work, a simulation model is established on neural network, according to teaching management, specialty construction and curriculum reform, teaching research and results, teaching quality as input layer, quality of universities undergraduate theory teaching work as output layer, establish artificial neural network model, and actual data were used for training and practice of the network.The practice showed that the model has well recognizes the precision. Finally obtains digitized the appraisal result,can be accurate, irect-viewing reflection the quality undergraduate theory teaching work the fit and unfit, thus the wide prospect of artificial neural network in the evaluation of quality of universities undergraduate theory teaching work were presented.
机译:为了对大学本科理论教学工作进行综合评价,建立了基于神经网络的仿真模型,根据教学管理,专业建设和课程改革,教学研究与成果,教学质量作为输入层,大学本科理论教学工作质量作为输出层,建立人工神经网络模型,并将实际数据用于网络的训练和实践。实践表明,该模型具有很好的识别精度。最终获得数字化的评价结果​​,可以准确,直观地反映出大学本科理论教学工作的优劣,从而提出了人工神经网络在大学本科理论教学工作质量评价中的广阔前景。

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