基于BP神经网络的土木工程智能化施工课程达成度评价

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中图分类号：G640 文献标志码：A 文章编号：2096-000X（2025）26-0009-06

Abstract：Withourcountryseconomyenteringanewstageofhigh-qualitydevelopment，smartconstructionhasbecomean inevitabletrendinthedevelopmentoftheonstructionindustryaswellasintheindustrialtransformationandupgradinghich mainlyicludestreeaspects：intellintdesign，inteligentconstructio，nditeligentoperationndmintenance.Ielent ConstructioninCivilEngineringisthecorecourseofsmartconstruction，whosequalitystandards，knowledgesystemand evaluationmethodsarestillintheexploratorystage.Lessonachievementevaluationisanimportantpartofprofsional accreditationinengineeingeducation.ThispapertakesthecourseofIntellgentConstructioninCivilEngineeringinChina UniversityofMiningandTechnologyastheresearchsubject.Firstly，thispaperpresentsthequalitystandardsforthiscourse. Subsequently，anachievementevaluationmethodbasedonneuralnetworktechnologyisproposedusingtheteachingdata. Moreover，thefindingswillbeutizedtoproposeenhancementsforteachingpractices.Thispapershowsthatneuralnetwork technologycanbeusedtoreasonably，accurately，andscientificallevaluatetheachievementofcourseobjectives，whichhelpsto promote high-quality development in undergraduate engineering education.

Keywords： Intellgent Constructionin CivilEngineering;smartconstruction；courseachievement;neuralnetwork；enginering education

建筑业是我国的支柱产业之一，对推动我国城镇化建设和经济社会发展发挥了重要作用。（剩余5363字）