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基于粒子群算法的毕业设计质量因素分析

An Analysis on Graduate Projects' Quality Elements with Particle Swarm Optimization
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摘要 采用粒子群算法分析了选题和指导教师因素对于数学、软件工程及计算机三专业学生毕业设计质量的影响,结果显示对于不同专业,质量因素的影响是不一样的,因此需要针对性地给出改进措施;然后基于分析结果给出了对导师遴选及课题筛选工作的改进建议。 Based upon Panicle Swarm Optimization, the influential elements of topics and advisors on the graduate projects completed by the students majoring in mathematics, software engineering and computer science are analyzed. It is suggested that these influential elements may play a different role for students from different departments. Depanment-specific improvement strategies are needed. And some suggestions on the improvement of topic and advisor selection are presented.
作者 曹英
机构地区 福州大学数学与计算机科学学院
出处 《福建教育学院学报》 2009年第4期126-128,共3页 Journal of Fujian Institute of Education
关键词 毕业设计 粒子群 教学管理 graduate project panicle swarm optimization educational management
分类号 TP399 [自动化与计算机技术—计算机应用技术]
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福建教育学院学报
2009年 第4期

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