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Quality Evaluation of Universities Undergraduate Practice Teaching Work Based on Artificial Neural Network

机译:基于人工神经网络的大学本科实践教学工作质量评价

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摘要

According to existing problems in universities undergraduate practice teaching work, a simulation model is established on neural network, according to experiment teaching, practice teaching, graduation project and graduation thesis, laboratory management and equipment use as input layer, quality of universities undergraduate practice 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, direct-viewing reflection the quality undergraduate practice teaching work the fit and unfit, thus the wide prospect of artificial neural network in the evaluation of quality of universities undergraduate practice teaching work were presented.
机译:根据大学本科实践教学工作中存在的问题,在神经网络中建立了模拟模型,根据实验教学,实践教学,毕业项目和毕业论文,实验室管理和设备用作输入层,大学素质本科实践教学工作作为输出层,建立人工神经网络模型,实际数据用于网络的培训和实践。该实践表明,该模型良好认识到精度。终于获得了数字化评价结果,可以准确,直接观看反映优质本科实践教学工作合适与不合适,从而呈现了大学本科实践教学工作质量评价中的人工神经网络的广阔前景。

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