This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
2009 Fifth International Conference on Natural Computation
Strategic Planning for Scientific and Technological Human Resource Based on BP Neural Network
Tianjian, China
August 14-August 16
ISBN: 978-0-7695-3736-8
ASCII Text
x 
 
Ge Lei, Dai Feng, Wang Chunxin, Zhai Dongkai, Zhang Yong, "Strategic Planning for Scientific and Technological Human Resource Based on BP Neural Network," 2013 International Conference on Computing, Networking and Communications (ICNC), vol. 1, pp. 311-315, 2009 Fifth International Conference on Natural Computation, 2009.
 
 
BibTex
x
 
@article{ 10.1109/ICNC.2009.450,
author = {Ge Lei and Dai Feng and Wang Chunxin and Zhai Dongkai and Zhang Yong},
title = {Strategic Planning for Scientific and Technological Human Resource Based on BP Neural Network},
journal ={2013 International Conference on Computing, Networking and Communications (ICNC)},
volume = {1},
year = {2009},
isbn = {978-0-7695-3736-8},
pages = {311-315},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICNC.2009.450},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - 2013 International Conference on Computing, Networking and Communications (ICNC)
TI - Strategic Planning for Scientific and Technological Human Resource Based on BP Neural Network
SN - 978-0-7695-3736-8
SP311
EP315
A1 - Ge Lei,
A1 - Dai Feng,
A1 - Wang Chunxin,
A1 - Zhai Dongkai,
A1 - Zhang Yong,
PY - 2009
KW - Strategic Planning
KW - Scientific and Technological Human Resource
KW - BP neural network
VL - 1
JA - 2013 International Conference on Computing, Networking and Communications (ICNC)
ER -
 
Based on the existing theory of intelligent prediction, this paper applies back-propagation (BP) neural network to combine a variety of intelligent forecasting model, and uses back-propagation algorithm to determine the weight of combination model, which makes the model approach the development trend of things. Last, the author applies the intelligent combination model to forecast the quantity increase of science and technology staffs. The conclusion shows that: The combination of intelligent prediction model based on BP neural network can greatly improves the forecast accuracy, better than a single model and linear combination.
Index Terms:
Strategic Planning, Scientific and Technological Human Resource, BP neural network
Citation:
Ge Lei, Dai Feng, Wang Chunxin, Zhai Dongkai, Zhang Yong, "Strategic Planning for Scientific and Technological Human Resource Based on BP Neural Network," icnc, vol. 1, pp.311-315, 2009 Fifth International Conference on Natural Computation, 2009
Usage of this product signifies your acceptance of the Terms of Use.