基于GA-SVR的大学生手机依赖预警系统  

Warning System for Mobile Phone Dependence of College Students Based on GA-SVR

作　　者：徐炜君[1] 魏勇[2] 原大明[1] 刘东升[1] 

机构地区：[1]东北石油大学秦皇岛分校,河北秦皇岛066004 [2]燕山大学理学院,河北秦皇岛066004

出　　处：《杭州师范大学学报（自然科学版）》2016年第5期556-560,共5页Journal of Hangzhou Normal University(Natural Science Edition)

基　　金：河北省高教学会2015年度高教科研项目(GJXH2015-310);燕山大学青年教师自主研究计划项目(15LGBO22)

摘　　要：针对手机依赖严重影响大学生课堂学习效率的问题,利用GA优化SVR的惩罚因子C、不敏感损失参数ε和核函数参数γ,设计了一种大学生手机依赖预警系统.系统通过手机APP发布和回收手机依赖调查问卷,避免了问卷的发放、收集和数据录入分析等繁琐的工作.系统通过问卷数据建立的GA-SVR预警模型,可以较为准确的预测出学生的综测成绩进而给出预警信息.系统的统计分析功能可以实现任意时段预警信息的统计分析,便于教学管理者和教师掌握学生整体状态并采取应对措施.实际运行结果表明,系统可以自动的进行手机依赖的预警和统计分析,系统分析结果可信、可靠.For the mobile phone dependence seriously affects college students＇ classroom learning efficiency, using GA to optimize the SVR penalty factor C, insensitive loss parameter e and kernel function parameter 7, a warning system for mobile phone dependence of college students is designed. The system distributes and takes back the mobile phone dependence questionnaire through mobile phone APP, which can avoid tedious work of distribution, collection and data entry of the questionnaire. Through the questionnaire data, the system establishes the warning model based on GA-SVR, and the model can precisely predict the students＇ comprehensive test results and give warning information. The statistical analysis function of the system can realize the statistical analysis of warning information in any period of time, which is convenient for teachers and teaching managers to master the whole state of students and take measures to deal with it. The actual operation results show that the system can automatically carry out the warning and statistical analysis of the mobile phone dependence. The results are credible and reliable.

关 键 词：遗传算法 手机APP 支持向量回归机 预警系统 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]