Title :
Effective assessment for full-time engineering postgraduate education
Author :
Ding, Yuanchun ; Tang, Minkang
Author_Institution :
Sch. of Resources & Environ. Eng., Jiangxi Univ. of Sci. & Technol., Ganzhou, China
Abstract :
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.
Keywords :
decision making; engineering education; further education; support vector machines; SVM; decision making; education assessment model; engineering postgraduate education; support vector machine; Computer languages; Education; Mathematical model; SVM; assessment; education; engineering postgraduate; indices;
Conference_Titel :
Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-61284-485-5
DOI :
10.1109/ICCSN.2011.6013814
