摘要
传统的组卷方法多是依赖教师的经验实现,容易受到教师主观因素的影响,耗费大量的精力时间,且选题时容易产生混叠现象,无法满足用户高标准应用需求。为此,提出基于随机相位重构的智能组卷混叠均衡算法。为设计一个效率高、质量高的智能组卷系统,对试卷属性指标进行深入研究,制定约束条件,依据相关理论构建智能组卷数学模型,并依据随机相位重构理论求解模型,获取模型的最优解,实现智能组卷的高效性和均衡性。实验结果表明,采用改进算法进行智能组卷,提高了试卷的可控性与算法的收敛速度,符合智能组卷系统均衡性需求,具有显著的优越性。
Traditional group volume method is dependent on the teacher＇s experience, more vulnerable tothe influence of subjective factors, teachers spend a lot of energy, time and inappropriatenes prone toaliasing phenomenon, cannot satisfy the user the high-standard requirements for application. Therefore,based on random phase reconstruction of smart group volume mixing equalization algorithm. To design ahigh efficiency, high quality smart group volume system, to conduct the thorough research to the testattribute index, set constraints, on the basis of related theory to build smart group volume model, andaccording to the random phase reconstruction theory to solve the model, model for the optimal solution,intelligent group volume efficiency and balance. The experimental results show that the improvedalgorithm for smart group, improve the controllability of the paper and the algorithm convergence speed,can meet the demand of smart group volume system balance, has significant advantages.
出处
《科技通报》
北大核心
2016年第5期236-239,共4页
Bulletin of Science and Technology
关键词
随机相位重构
智能组卷
均衡
random phase reconstruction
smart group volume
equilibrium
