DocumentCode :
1946691
Title :
Integration of a Novel Neural Network Algorithm and Kirkpatrick Model and Its Application in R&D Performance Evaluation
Author :
Xiong, Fengshan ; Zhang, Yizhen ; Li, Tong ; Liu, Zhibin
Author_Institution :
Sch. of Bus. Agric., Univ. of Hebei, Baoding
Volume :
1
fYear :
2008
fDate :
12-14 Dec. 2008
Firstpage :
353
Lastpage :
356
Abstract :
Research and development activities (R&D) as the core competitiveness in the high-tech enterprises play an extremely important role and far-reaching significance. If the high-tech enterprises want to realize the effective management to the R&D activities, and improve their success rate and economic benefits, it is necessary to conduct a scientific evaluation for the R&D performance. To measure the R&D performance of the high-tech enterprises scientifically and accurately, this paper overcomes the shortcoming of tradition linear R&D measuring method, proposes a measuring method which establishes a performance evaluation system combined with Kirkpatrick model and BP neural network. The performance evaluation of 16 enterprises in Hebei Province shows that the results given by this model are reliable, and this method to evaluate the R&D performance is feasible.
Keywords :
backpropagation; electronic commerce; neural nets; research and development management; BP neural network; Kirkpatrick model; high-tech enterprises; research and development performance evaluation; Cities and towns; Computer science; Mathematical model; Measurement; Neural networks; Neurons; Power generation economics; Power system modeling; Research and development; Research and development management; R&D; kirkpatrick model; neural network algorithm; performance evaluation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
Type :
conf
DOI :
10.1109/CSSE.2008.423
Filename :
4721760
Link To Document :
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