文章摘要
傅 勉a,b.基于多层过滤和动态概率模型的试题抽取算法研究[J].西昌学院学报(自然科学版),2019,33(2):59-62.
基于多层过滤和动态概率模型的试题抽取算法研究
Research on Graduate Entrance Examination Questions ExtractionAlgorithms Based on Multilayer Filtering and Dynamic Probability Model
  
DOI:
中文关键词: 多层过滤  动态概率模型  试题  抽取算法
英文关键词: multilayer filtering  dynamic probability model  examination question  extraction algorithm
基金项目:国家自然科学基金项目:装备作战需求论证质量评估方法研究(71371187)。
作者单位
傅 勉a,b 安徽新华学院 a.商学院 b.大学生素质教育研究中心合肥230088 
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中文摘要:
      针对研究生考试涉及课程门类众多,内容要求灵活多变,并且存在数门课程合并出卷的特点,提出一种将多层过滤模型 和动态概率模型相结合的试卷抽取方法,首先通过多层过滤模型层层过滤出符合出题要求的试题,然后使用动态概率模型对 所有试题按照一定概率进行动态调整。结果表明试题分布合理,完全能够满足研究生考试试题抽取的需求。
英文摘要:
      With regard to the characteristic diversity of subjects, updated flexible contents, and unified examination papers for multiple courses in Unified National Graduate Entrance Examination, a random examination questions extraction algorithm based on multi-layer filtering model and dynamic probability model is proposed. First, the multi-layer filtering model is used to filter out the examination questions that meet the requirements for the examination, and then the dynamic probability model is used to adjust all the examination questions dynamically according to a certain probability. The results show that a reasonable distribution of questions has been achieved, which can well meets the requirements for the examination questions extraction in the National Graduate Entrance Examination.
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