Analysis of University Science Research Capability Elements and Evaluation Based on BP Neural Network

Weiwei  Liu; Chunsheng  Shi

doi:10.4236/jssm.2008.13030

Weiwei Liu, Chunsheng Shi

Abstract: After analyzing effect elements of University Science Research Capability (USRC) based on dynamic capability theory, combined the substance of university science research with the highly self-organized, self-adapted and self-learned characteristics of Back Propagation (BP) Neural Network, the paper conducts a research on evaluation of USRC, in which an evaluation index system of USRC is constructed and a 15-7-1-typed BP Neural Network with three layers is presented to evaluate USRC, which provides a BP Neural Network-based methodology for evaluation of USRC with multiple inputs.

Keywords: BP neural network, science research, capability evaluation

Cite this paper: nullW. Liu and C. Shi, "Analysis of University Science Research Capability Elements and Evaluation Based on BP Neural Network," Journal of Service Science and Management, Vol. 1 No. 3, 2008, pp. 266-271. doi: 10.4236/jssm.2008.13030.

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