摘要
阐述一种可通过不断使用系统,得到的数据能够自适应自我优化,生成一个可不断更新题库,不断优化系统的自适应智能组卷体系,该模型设计的智能组卷系统原型能不断自我优化。
This paper describes an adaptive intelligent test paper generation system that can continuously update the question bank and continuously optimize the system through continuous use of the system, and the data obtained can be adaptive and self optimized. The prototype of the intelligent test paper generation system designed by this model can continuously self optimize.
作者
吕淑琴
LYU Shuqin(School of Computer Intelligence,Wuhan University of Technology,Hubei 430070,China)
出处
《电子技术(上海)》
2022年第12期218-219,共2页
Electronic Technology
关键词
自适应优化
智能组卷
试题属性
约束条件
adaptive optimization
intelligent test paper generation
test attribute
constraints