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离散Hopfield神经网络在职业院校学生综合素养评价中的应用研究

俞骋

科技创新与应用2024,Vol.14Issue(20):150-153,4.
科技创新与应用2024,Vol.14Issue(20):150-153,4.DOI:10.19981/j.CN23-1581/G3.2024.20.034

离散Hopfield神经网络在职业院校学生综合素养评价中的应用研究

俞骋1

作者信息

  • 1. 宁波市教育科学研究所,浙江 宁波 315100
  • 折叠

摘要

Abstract

In order to overcome the interference of human factors in educational evaluation and improve the accuracy and efficiency of educational evaluation,this paper explores the application of Discrete Hopfield Neutral Network(DHNN)to the evaluation of vocational college students'comprehensive literacy.Matlab simulation shows that by setting appropriate neuron balance point,the Discrete Hopfield Neutral Network can effectively evaluate students'professional comprehensive literacy according to the input index data,and the evaluation results are completely consistent with the results of expert evaluation.

关键词

离散Hopfield神经网络/职业院校/综合素养评价/二值化编码/教育评估

Key words

Discrete Hopfield Neutral Network(DHNN)/vocational college/comprehensive literacy evaluation/binary coding/educational evaluation

分类

教育学

引用本文复制引用

俞骋..离散Hopfield神经网络在职业院校学生综合素养评价中的应用研究[J].科技创新与应用,2024,14(20):150-153,4.

科技创新与应用

2095-2945

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