SOM神经网络在职业院校单片机课程教学诊断中的应用研究

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中图分类号:TP18 文献标识码:A 文章编号:2096-4706(2026)05-0146-04

(宁波市教育科学研究所,浙江宁波315199)

Application Research on SOM Neutral Network for the Teaching Diagnosis of Single-chip Microcomputer Course in Vocational Schools

YU Cheng (Ningbo Institute of Education Sciences,Ningbo 315199, China)

Abstract:Teaching diagnosis isacrucialcomponentofeducationalactivities.Toaddress thechallengesof traditional teachingdiagosis,uchasavyokloadloweiencyndeptibilitytoroshanactors,tisapereploste applicationofSelf-Organizing Map(SOM)neural networksin the teachingdiagnosisofthesingle-chip microcomputercoursein vocationalschols.ThroughMATLABsimulations,itisfoundthatafteracertain numberoftraining iterations,theSOMneural network canefectivelyextract features from the input dataforclustering,clearly presentingthestructuralpatemsof singlechip microcomputer competencyamong diferent student groups.This lays the groundwork for targeted capability enhancement strategies in subsequent stages.

Keywords: SOM neural network; vocational school; Single-chip Microcomputer course; teaching diagnosis

0 引言

人工神经网络(ArtificialNeuralNetwork,ANN)是一种仿生学算法[。(剩余4661字)

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