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针对高职院校教学工作中存在的质量评价问题,建立一个基于神经网络的仿真模型,将方案准备、操作训练、总结报告、考核鉴定作为输入层,实践教学质量作为输出层,建立人工神经网络模型,利用实际数据进行网络的训练和测试。测试结果表明,该模型可以得出数字化的评估结果,可以准确、直观地反映高职实践教学工作的优劣,具有良好的识别精度。同时对人工神经网络在高校高职实践教学工作质量评价的前景进行展望。
Aiming at the problems existing in the teaching of higher vocational colleges, this paper establishes a simulation model based on neural network, and takes program preparation, operation training, summary report and appraisal as input layer and practice teaching quality as output layer, and establishes artificial neural network Model, use the actual data for network training and testing. The test results show that the model can obtain the digital assessment results, which can accurately and directly reflect the advantages and disadvantages of practical teaching in higher vocational schools and have good recognition accuracy. At the same time, the prospects of artificial neural network in evaluating the quality of practice teaching in higher vocational colleges are prospected.