Title :
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
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;
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
DOI :
10.1109/ICM.2011.344
