DocumentCode
3306518
Title
An approach to classification of psychological testing using neural networks
Author
Zou, Rui ; Yang, Fengchi ; Tao, Duan ; Ouyang, Kai
Author_Institution
Dept. of Biomed. Eng., Capital Univ. of Med. Sci., Beijing, China
Volume
2
fYear
1999
fDate
36434
Abstract
Self-organizing mapping, an unsupervised learning algorithm, is applied. The accuracy of this approach has been tested using 282 students´ psychological testing. Through analyzing the weights of networks, a suggestion for improving the inventory is provided
Keywords
education; psychology; self-organising feature maps; unsupervised learning; classification; inventory; neural networks; psychological testing; self-organizing mapping; university students; unsupervised learning algorithm; weights of networks; Biomedical engineering; Computer networks; Large-scale systems; Medical tests; Neural networks; Psychology; Space technology; Testing; USA Councils; Unsupervised learning;
fLanguage
English
Publisher
ieee
Conference_Titel
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location
Atlanta, GA
ISSN
1094-687X
Print_ISBN
0-7803-5674-8
Type
conf
DOI
10.1109/IEMBS.1999.804077
Filename
804077
Link To Document