LSSVM在教学质量评价中的应用  

The Application of the Least Square Support Vector Machine in the Teachers’ Teaching Evaluation

作　　者：马海兴[1] 张刚[2] 

机构地区：[1]宁夏大学新华学院,750021 [2]宁夏大学学术期刊中心

出　　处：《中国科技信息》2010年第9期283-285,共3页China Science and Technology Information

基　　金：2007年宁夏大学青年教师科研启动项目(编号:QN200724)

摘　　要：教学质量评价是为了督促教师不断提高教学实践能力,传统方法利用主观权重计算评价成绩其合理性受到质疑,需要寻求一种更加科学、合理的评价方法。最小二乘支持向量机(LSSVM)算法有着优良的推广性能,本文提出了一个基于LSSVM的教学质量评价模型,经检验该模型能够获得良好的评价结果。The objective of teaching quality evaluation is to supervise teachers to raise their teaching practice abiliy. The traditional evaluation methods have been very strong subjectivity.How to evaluate the quality of teaching objectively and accurarely is a subject worth studying. The least square support vector machine has excellent generalization performance, this paper bring forword an evaluation model based on LSSVM, and the model is tested to obtain excellent results.

关 键 词：最小二乘支持向量机 教学质量评价 

分 类 号：G421[文化科学—课程与教学论]