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基于BP神经网络的高职院校教学诊断和改进的评核模型

Evaluation Model of Teaching Diagnosis and Improvement in Higher Vocational Colleges on BP Neural Network
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摘要 在高职院校的教学诊断与改进中,如何评核诊断是非常重要的环节。如何确定各评核指标的权值、构建评核模型是评核结果客观、真实的关键。使用BP神经网络原理确定各评核指标权值是可行的且具有科学性。因此,笔者基于BP神经网络原理,重点探讨评核指标的权重分析,以构建科学的评核模型,从而提高高职院校教学诊断与改进评核结果的客观性和真实性。 In the teaching diagnosis and improvement of Higher Vocational colleges,how to evaluate the effect of diagnosis and implementation is very important.How to determine the weight of each evaluation index and construct the evaluation model is the key to objectively and authentically evaluate the results.It is feasible and scientific to use the principle of BP neural network to determine the weights of each evaluation index.Based on the principle of BP neural network,this paper focuses on the weight analysis of evaluation index,in order to build a scientific evaluation model,so as to improve the objectivity and authenticity of the evaluation results of teaching diagnosis and improvement in Higher Vocational colleges.
作者 刘中胜 Liu Zhongsheng(Lingnan Institute of Technology,Guangzhou Guangdong 510663,China)
出处 《信息与电脑》 2019年第2期225-227,共3页 Information & Computer
关键词 神经网络 诊断与改进 评核 neural network diagnosis and improvement evaluation
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