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作 者:彭云建[1] 欧善国 梁进 PENG Yun-jian;OU Shan-guo;LIANG Jin(School of Automation Science and Engineering,South China University of Technology,Guangzhou 510640,China;Guangzhou Meteorological Society,Guangzhou 511430,China)
机构地区:[1]华南理工大学自动化科学与工程学院,广东广州510640 [2]广州市气象学会,广东广州511430
出 处:《计算机技术与发展》2021年第5期209-214,共6页Computer Technology and Development
基 金:2018年度广东省科技创新战略专项资金(科技创新普及领域)(粤财教[2018]377号);广东省气象局软科学项目(M201707);广州市气象科普信息交互平台建设(201621)。
摘 要:针对科普活动对气象知识竞赛的趣味性、新颖性、便捷性和适应性要求,通过建立试题文本分析和自动组卷模型,结合多目标优化的层次分析法和支持向量机(SVM),提出了一类试题文本特征分析和自动组卷方法。通过确定以题型、学科关联性、知识难度、趣味性为指标的试题归类权重,基于层次分析法确定多目标寻优的结构,以试卷的特征参数为寻优目标模式,采用SVM文本分类方法对试题文本进行模式匹配实现自动组卷功能。其次,分析答卷中试题作答情况,计算试题难度指标和答题时间等,增强智能组卷算法寻优结果的一致性,提高竞赛试题与试卷的质量,在线知识竞赛系统的建设中具有很高的应用价值。In view of the requirements like interest,novelty,convenience and adaptability of popular science activities for meteorological knowledge competition,an intelligent method of automatic test paper formation and test paper analysis is proposed by establishing the model of test paper analysis and automatic test paper formation,combined with the analytic hierarchy process of multi-objective optimization and support vector machine(SVM).Through determining the weight of test paper classification,which is based on the index of question type,subject relevance,knowledge difficulty,interest,etc.,the structure of multi-objective optimization is determined based on AHP.Taking the characteristic parameters of test paper as the optimization target mode,SVM text classification method is used to model match the test paper to realize the function of automatic test paper formation.Secondly,the situation of answering questions is analyzed,the difficulty index and the time of answering questions are calculated,so as to enhance the consistency of the results of the intelligent algorithm of generating papers and improve the quality of the contest questions and papers.The construction of online knowledge contest system has a high application value.
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