|
| This Article | ||
| ||
| Share | ||
| Bibliographic References | ||
| Add to: | ||
 Digg  Furl  Spurl  Blink  Simpy  Google  Del.icio.us  Y!MyWeb | ||
| Search | ||
| ||
2009 WRI Global Congress on Intelligent Systems
Research on the Quality Evaluation of Digital Collections Based on Radial Basis Funcion Neural Network
Xiamen, China
May 19-May 21
ISBN: 978-0-7695-3571-5
| ASCII Text | x | ||
| Zhang Xiuhua, "Research on the Quality Evaluation of Digital Collections Based on Radial Basis Funcion Neural Network," 2010 Second WRI Global Congress on Intelligent Systems, vol. 4, pp. 140-145, 2009 WRI Global Congress on Intelligent Systems, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/GCIS.2009.113, author = {Zhang Xiuhua}, title = {Research on the Quality Evaluation of Digital Collections Based on Radial Basis Funcion Neural Network}, journal ={2010 Second WRI Global Congress on Intelligent Systems}, volume = {4}, year = {2009}, isbn = {978-0-7695-3571-5}, pages = {140-145}, doi = {http://doi.ieeecomputersociety.org/10.1109/GCIS.2009.113}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2010 Second WRI Global Congress on Intelligent Systems TI - Research on the Quality Evaluation of Digital Collections Based on Radial Basis Funcion Neural Network SN - 978-0-7695-3571-5 SP140 EP145 A1 - Zhang Xiuhua, PY - 2009 KW - RBF neural network KW - digital collection KW - quality evaluation VL - 4 JA - 2010 Second WRI Global Congress on Intelligent Systems ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/GCIS.2009.113
According to the self-organizing, self-learning and self-adapting characteristics of RBF neural network, this paper proposes the method for evaluating the quality of digital collections that is based on RBF Neural Network and builds up an evaluation model. The digital collection quality of five universities in Yantai and Weihai districts, Shandong Province, has been evaluated under such model. Analysis of the result of MATLAB simulation test has proved that the model is feasible and effective.
Index Terms:
RBF neural network, digital collection, quality evaluation
Citation:
Zhang Xiuhua, "Research on the Quality Evaluation of Digital Collections Based on Radial Basis Funcion Neural Network," gcis, vol. 4, pp.140-145, 2009 WRI Global Congress on Intelligent Systems, 2009
Usage of this product signifies your acceptance of the Terms of Use.