会议专题

Effective Assessment for Full-time Engineering Postgraduate Education

This paper is concerned with the problem of applying support vector machine (SVM) in the effective assessment for full-time engineering postgraduate education. By using the SVM theory, a full-time engineering postgraduate education assessment model is developed. Based on this model, we can obtain the effective assessing results, which can be used to direct the decision-maker to make the right decision. Finally, the simulating results are given to show the effectiveness of the proposed theorems.

engineering postgraduate indices assessment education SVM

Yuanchun Ding Minkang Tang

School of Resources and Environmental Engineering Jiangxi University of Science and Technology Ganzhou 341000, Peoples Republic of China

国际会议

2011 IEEE International Conference on Information and Education Technology(ICIET 2011)(2011年信息和教育技术国际会议)

贵阳

英文

223-226

2011-01-26(万方平台首次上网日期,不代表论文的发表时间)