Evaluation of Talent Cultivation for Colleges and Universities Based on Principal Component Analysis and BP Neural Network

Author

Sun Wei ; Zhao Xiaolin

Author_Institution

Sch. of Bus. Adm., North China Electr. Power Univ., Baoding, China

Volume

1

fYear

2011

fDate

24-25 Sept. 2011

Firstpage

185

Lastpage

187

Abstract

To effectively evaluate talent training of colleges and universities and promote construction of talent training, this paper provided evaluation index system of teaching work in institutes and departments according to characteristics of talent training of colleges and universities. Based on the sample of evaluate talent training of colleges and universities, and for the requirement of high precision, this paper used nerve network algorithms in assessment of talent training of colleges and universities. The evaluation mole of talent training of colleges and universities is established based on principal component and nerve network. The result of an empirical analysis shows that the model has a high evaluating precision, and it is practical and feasible.

Keywords

backpropagation; computer based training; educational administrative data processing; educational institutions; neural nets; principal component analysis; BP neural network; college; evaluation index system; nerve network algorithm; principal component analysis; talent cultivation; talent training; teaching; universities; Data models; Educational institutions; Indexes; Mathematical model; Neurons; Training; BP neural network; principal component analysis; talent training;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on

Conference_Location

Nanjing, Jiangsu

Print_ISBN

978-1-4577-1419-1

Type

conf

DOI

10.1109/ICM.2011.344

Filename

6113387