强化学习在中职招生系统中的应用  

APPLYING REINFORCEMENT LEARNING IN ENROLMENT SYSTEM OF MIDDLE VOCATIONAL SCHOOLS

作　　者：李冠峰[1] 贺学剑[2] 韩道军[3] 

机构地区：[1]河南科技大学电子信息工程学院,河南洛阳471003 [2]河南科技大学林业职业学院,河南洛阳471002 [3]河南大学数据与知识工程研究所,河南开封475004

出　　处：《计算机应用与软件》2013年第4期252-254,共3页Computer Applications and Software

摘　　要：强化学习是一种重要的机器学习方式,在众多的领域均有应用。针对目前中职招生系统中分数线不固定和招生录取这一重要环节由招生人员控制的特点,将强化学习引入中职招生系统中,通过对招生流程中各个环节的行为进行智能分析,动态改变约束阈值相关的奖励和惩罚值以适应外部环境的变化,增加系统的灵活性和智能性。实例分析表明了该方法的实用性与有效性。Reinforcement learning is an important means of machine learning,and has been applied to many fields.Current enrolment system of middle vocational schools has the problems of unfixed entrance marks and the admissions officers controlling key links of enrolment and admission process.To solve these,we introduce the reinforcement learning to the enrolment system of middle vocational schools.Based on intelligent analyses on each sector of the enrolment process,we dynamically alter the value of reward and penalty corresponding to the constraint threshold to adapt to the variation of external environment,and to increase the flexibility and intelligence of the system.Example analyses demonstrate the practicality and effectiveness of the method presented in the paper.

关 键 词：强化学习 中职 招生系统 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]