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Research on Evaluation of University Scientific Research Capability Based on Discrete Hopfield Neural Network

机译:基于离散Hopfield神经网络的大学科研能力评价研究

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This paper introduces an evaluation model for the university scientific research capability based on improved discrete Hopfield neural network ,which can provides scientific reference for colleges and universities to identify the status of their own research capability, enhance scientific research capability and improve their ranks. The model makes concepts of evaluation for scientific research indexes into quantitative data and use them as a Hopfield neural network input, use comprehensive evaluation results as output. Using Matlab to make an empirical analysis we found that if use this model to evaluate university scientific research capability, it can not only overcome the disorder causing by subjective factors of evaluated subject appearing the evaluation process but also can receive a satisfactory evaluating results, with broad applicability.
机译:本文介绍了一种基于改进的离散Hopfield神经网络的大学科研能力评价模型,可为高校确定自身科研能力现状,增强科研能力和排名提供科学参考。该模型将科研指标的评估概念转化为定量数据,并将其用作Hopfield神经网络输入,将综合评估结果用作输出。利用Matlab进行实证分析,发现使用该模型对大学科研能力进行评价,不仅可以克服评价过程中被评价者的主观因素引起的障碍,而且可以得到满意的评价结果​​,具有广阔的应用前景。适用性。

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